The Year Before Last

2015
[1]
S. Abiteboul, L. Dong, O. Etzioni, D. Srivastava, G. Weikum, J. Stoyanovich, and F. M. Suchanek, “The Elephant in the Room: Getting Value from Big Data,” in Proceedings of the 18th International Workshop on Web and Databases (WebDB 2015), Melbourne, Australia, 2015.
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@inproceedings{AbiteboulWebDB2015, TITLE = {The Elephant in the Room: {G}etting Value from {Big Data}}, AUTHOR = {Abiteboul, Serge and Dong, Luna and Etzioni, Oren and Srivastava, Divesh and Weikum, Gerhard and Stoyanovich, Julia and Suchanek, Fabian M.}, LANGUAGE = {eng}, ISBN = {978-1-4503-3627-7}, DOI = {10.1145/2767109.2770014}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 18th International Workshop on Web and Databases (WebDB 2015)}, EDITOR = {Stoyanovich, Julia and Suchanek, Fabian M.}, PAGES = {1--5}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %A Abiteboul , Serge %A Dong, Luna %A Etzioni, Oren %A Srivastava, Divesh %A Weikum, Gerhard %A Stoyanovich, Julia %A Suchanek, Fabian M. %+ External Organizations External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations Télécom ParisTech %T The Elephant in the Room: Getting Value from Big Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-D3F2-F %R 10.1145/2767109.2770014 %D 2015 %B 18th International Workshop on the Web and Databases %Z date of event: 2015-05-31 - 2015-05-31 %C Melbourne, Australia %B Proceedings of the 18th International Workshop on Web and Databases %E Stoyanovich, Julia; Suchanek, Fabian M. %P 1 - 5 %I ACM %@ 978-1-4503-3627-7
[2]
A. Abujabal and K. Berberich, “Important Events in the Past, Present, and Future,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{AbjuabalWWW2015, TITLE = {Important Events in the Past, Present, and Future}, AUTHOR = {Abujabal, Abdalghani and Berberich, Klaus}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2741692}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {1315--1320}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Abujabal, Abdalghani %A Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Important Events in the Past, Present, and Future : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E33A-8 %R 10.1145/2740908.2741692 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-04-18 - 2015-04-22 %C Florence, Italy %B WWW'15 Companion %P 1315 - 1320 %I ACM %@ 978-1-4503-3473-0
[3]
A. Abujabal, “Mining Past, Present, and Future,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{AbujabalMaster2015, TITLE = {Mining Past, Present, and Future}, AUTHOR = {Abujabal, Abdalghani}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Abujabal, Abdalghani %+ Databases and Information Systems, MPI for Informatics, Max Planck Society %T Mining Past, Present, and Future : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-A974-2 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P XII, 86 p. %V master %9 master
[4]
A. Anagnostopoulos, L. Becchetti, I. Bordino, S. Leonardi, I. Mele, and P. Sankowski, “Stochastic Query Covering for Fast Approximate Document Retrieval,” ACM Transactions on Information Systems, vol. 33, no. 3, 2015.
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@article{Anagnostopoulos:TOIS, TITLE = {Stochastic Query Covering for Fast Approximate Document Retrieval}, AUTHOR = {Anagnostopoulos, Aris and Becchetti, Luca and Bordino, Ilaria and Leonardi, Stefano and Mele, Ida and Sankowski, Piotr}, LANGUAGE = {eng}, ISSN = {1046-8188}, DOI = {10.1145/2699671}, PUBLISHER = {ACM}, ADDRESS = {New York, NY}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {ACM Transactions on Information Systems}, VOLUME = {33}, NUMBER = {3}, PAGES = {1--35}, EID = {11}, }
Endnote
%0 Journal Article %A Anagnostopoulos, Aris %A Becchetti, Luca %A Bordino, Ilaria %A Leonardi, Stefano %A Mele, Ida %A Sankowski, Piotr %+ External Organizations External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Stochastic Query Covering for Fast Approximate Document Retrieval : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-B6C7-2 %R 10.1145/2699671 %7 2015 %D 2015 %J ACM Transactions on Information Systems %O TOIS %V 33 %N 3 %& 1 %P 1 - 35 %Z sequence number: 11 %I ACM %C New York, NY %@ false
[5]
A. Anagnostopoulos, L. Becchetti, A. Fazzone, I. Mele, and M. Riondato, “The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing,” in SIGMOD’15, ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
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@inproceedings{Anagnostopoulos:SIGMOD2015, TITLE = {The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing}, AUTHOR = {Anagnostopoulos, Aris and Becchetti, Luca and Fazzone, Adriano and Mele, Ida and Riondato, Matteo}, LANGUAGE = {eng}, ISBN = {978-1-4503-2758-9}, DOI = {10.1145/2723372.2723722}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {SIGMOD'15, ACM SIGMOD International Conference on Management of Data}, PAGES = {983--998}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %A Anagnostopoulos, Aris %A Becchetti, Luca %A Fazzone, Adriano %A Mele, Ida %A Riondato, Matteo %+ External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-B6BE-7 %R 10.1145/2723372.2723722 %D 2015 %B ACM SIGMOD International Conference on Management of Data %Z date of event: 2015-05-31 - 2015-06-04 %C Melbourne, Australia %B SIGMOD'15 %P 983 - 998 %I ACM %@ 978-1-4503-2758-9
[6]
K. Balog, J. Dalton, A. Doucet, and Y. Ibrahim, Eds., ESAIR’15. ACM, 2015.
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@proceedings{Balog:2015:2810133, TITLE = {ESAIR'15, Eight Workshop on Exploiting Semantic Annotations in Information Retrieval}, EDITOR = {Balog, Krisztian and Dalton, Jeffrey and Doucet, Antoine and Ibrahim, Yusra}, LANGUAGE = {eng}, ISBN = {978-1-4503-3790-8}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %E Balog, Krisztian %E Dalton, Jeffrey %E Doucet, Antoine %E Ibrahim, Yusra %+ External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T ESAIR'15 : Proceedings of the 2015 Workshop on Exploiting Semantic Annotations in Information Retrieval %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4869-B %@ 978-1-4503-3790-8 %I ACM %D 2015 %B Eight Workshop on Exploiting Semantic Annotations in Information Retrieval %Z date of event: 2015-10-23 - 2015-10-23 %D 2015 %C Melbourne, Australia
[7]
H. R. Bazoobandi, S. de Rooij, J. Urbani, A. ten Teije, F. van Harmelen, and H. Bal, “A Compact In-Memory Dictionary for RDF Data,” in The Semantic Web (ESWC 2015), Portorož, Slovenia, 2015.
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@inproceedings{Urbanilncs15, TITLE = {A Compact In-Memory Dictionary for {RDF} Data}, AUTHOR = {Bazoobandi, Hamid R. and de Rooij, Steve and Urbani, Jacopo and ten Teije, Annette and van Harmelen, Frank and Bal, Henri}, LANGUAGE = {eng}, ISBN = {978-3-319-18817-1}, DOI = {10.1007/978-3-319-18818-8_13}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {The Semantic Web (ESWC 2015)}, EDITOR = {Gandon, Fabien and Sabou, Marta and Sack, Harald and d'Amato, Claudia and Cudr{\'e}-Mauroux, Philippe and Zimmermann, Antoine}, PAGES = {205--220}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {9088}, ADDRESS = {Portoro{\v z}, Slovenia}, }
Endnote
%0 Conference Proceedings %A Bazoobandi, Hamid R. %A de Rooij, Steve %A Urbani, Jacopo %A ten Teije, Annette %A van Harmelen, Frank %A Bal, Henri %+ External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T A Compact In-Memory Dictionary for RDF Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-F1A6-9 %R 10.1007/978-3-319-18818-8_13 %D 2015 %B 12th European Semantic Web Conference %Z date of event: 2015-05-31 - 2015-06-04 %C Portorož, Slovenia %B The Semantic Web %E Gandon, Fabien; Sabou, Marta; Sack, Harald; d'Amato, Claudia; Cudré-Mauroux, Philippe; Zimmermann, Antoine %P 205 - 220 %I Springer %@ 978-3-319-18817-1 %B Lecture Notes in Computer Science %N 9088
[8]
K. Beedkar, K. Berberich, R. Gemulla, and I. Miliaraki, “Closing the Gap: Sequence Mining at Scale,” ACM Transactions on Database Systems, vol. 40, no. 2, 2015.
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@article{DBLP:journals/tods/BeedkarBGM15, TITLE = {Closing the Gap: {S}equence Mining at Scale}, AUTHOR = {Beedkar, Kaustubh and Berberich, Klaus and Gemulla, Rainer and Miliaraki, Iris}, LANGUAGE = {eng}, ISSN = {0362-5915}, DOI = {10.1145/2757217}, PUBLISHER = {ACM}, ADDRESS = {New York, NY}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {ACM Transactions on Database Systems}, VOLUME = {40}, NUMBER = {2}, PAGES = {1--44}, EID = {8}, }
Endnote
%0 Journal Article %A Beedkar, Kaustubh %A Berberich, Klaus %A Gemulla, Rainer %A Miliaraki, Iris %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Closing the Gap: Sequence Mining at Scale : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-5712-1 %R 10.1145/2757217 %7 2015 %D 2015 %J ACM Transactions on Database Systems %V 40 %N 2 %& 1 %P 1 - 44 %Z sequence number: 8 %I ACM %C New York, NY %@ false
[9]
A. Biswas, “Retrieving Web User’s Personal Information,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{BiswasMSc2015, TITLE = {Retrieving Web User's Personal Information}, AUTHOR = {Biswas, Angeeka}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Biswas, Angeeka %+ Databases and Information Systems, MPI for Informatics, Max Planck Society %T Retrieving Web User's Personal Information : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-48D1-1 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P VIII, 30 p. %V master %9 master
[10]
K. Budhathoki and J. Vreeken, “The Difference and the Norm - Characterising Similarities and Differences Between Databases,” in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, 2015.
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@inproceedings{BudhathokiECML2015, TITLE = {The Difference and the Norm -- Characterising Similarities and Differences Between Databases}, AUTHOR = {Budhathoki, Kailash and Vreeken, Jilles}, LANGUAGE = {eng}, ISBN = {978-3-319-23524-0}, DOI = {10.1007/978-3-319-23525-7_13}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015)}, EDITOR = {Appice, Annalisa and Pereira Rodrigues, Pedro and Gama, Jo{\~a}o and Al{\'i}pio, Jorge and Soares, Carlos}, PAGES = {206--223}, SERIES = {Lecture Notes in Artificial Intelligence}, VOLUME = {9285}, ADDRESS = {Porto, Portugal}, }
Endnote
%0 Conference Proceedings %A Budhathoki, Kailash %A Vreeken, Jilles %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T The Difference and the Norm - Characterising Similarities and Differences Between Databases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-2271-F %R 10.1007/978-3-319-23525-7_13 %D 2015 %B European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases %Z date of event: 2015-09-07 - 2015-09-11 %C Porto, Portugal %B Machine Learning and Knowledge Discovery in Databases %E Appice, Annalisa; Pereira Rodrigues, Pedro; Gama, João; Alípio, Jorge; Soares, Carlos %P 206 - 223 %I Springer %@ 978-3-319-23524-0 %B Lecture Notes in Artificial Intelligence %N 9285
[11]
K. Budhathoki, “Correlation by Compression,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{BudhathokiMaster2015, TITLE = {Correlation by Compression}, AUTHOR = {Budhathoki, Kailash}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Budhathoki, Kailash %Y Vreeken, Jilles %A referee: Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Correlation by Compression : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-0753-D %I Universität des Saarlandes %C Saarbrücken %D 2015 %P X, 56 p. %V master %9 master
[12]
K. Chakrabarti, “K-Shortest Paths with Overlap Constraints,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{ChakrabartiMSc2015, TITLE = {K-Shortest Paths with Overlap Constraints}, AUTHOR = {Chakrabarti, Kaustuv}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Chakrabarti, Kaustuv %Y Weikum, Gerhard %A referee: Setty, Vinay %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T K-Shortest Paths with Overlap Constraints : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-43A5-D %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 54 p. %V master %9 master
[13]
P. Chau, J. Vreeken, M. van Leeuwen, and C. Faloutsos, Eds., Proceedings of the ACM SIGKDD 2015 Full-day Workshop on Interactive Data Exploration and Analytics. 2015.
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@proceedings{chau:15:idea, TITLE = {Proceedings of the ACM SIGKDD 2015 Full-day Workshop on Interactive Data Exploration and Analytics (IDEA 2015)}, EDITOR = {Chau, Polo and Vreeken, Jilles and van Leeuwen, Matthijs and Faloutsos, Christos}, LANGUAGE = {eng}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, PAGES = {72 p.}, ADDRESS = {Sydney, Australia}, }
Endnote
%0 Conference Proceedings %E Chau, Polo %E Vreeken, Jilles %E van Leeuwen, Matthijs %E Faloutsos, Christos %+ External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Proceedings of the ACM SIGKDD 2015 Full-day Workshop on Interactive Data Exploration and Analytics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-578A-0 %D 2015 %B ACM SIGKDD 2015 Full-day Workshop on Interactive Data Exploration and Analytics %Z date of event: 2015-08-10 - 2014-08-10 %D 2015 %C Sydney, Australia %P 72 p. %U http://poloclub.gatech.edu/idea2015/papers/idea15-proceedings.pdf
[14]
D. Dedik, “Robust Type Classification of Out of Knowledge Base Entities,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{DedikMaster2015, TITLE = {Robust Type Classification of Out of Knowledge Base Entities}, AUTHOR = {Dedik, Darya}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Dedik, Darya %Y Weikum, Gerhard %A referee: Spaniol, Marc %+ International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Robust Type Classification of Out of Knowledge Base Entities : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-C0EC-F %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 65 p. %V master %9 master
[15]
L. Del Corro, A. Abujabal, R. Gemulla, and G. Weikum, “FINET: Context-Aware Fine-Grained Named Entity Typing,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015.
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@inproceedings{delcorro-EtAl:2015:EMNLP, TITLE = {{FINET}: {C}ontext-Aware Fine-Grained Named Entity Typing}, AUTHOR = {Del Corro, Luciano and Abujabal, Abdalghani and Gemulla, Rainer and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-941643-32-7}, URL = {https://aclweb.org/anthology/D/D15/D15-1103}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)}, PAGES = {868--878}, ADDRESS = {Lisbon, Portugal}, }
Endnote
%0 Conference Proceedings %A Del Corro, Luciano %A Abujabal, Abdalghani %A Gemulla, Rainer %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T FINET: Context-Aware Fine-Grained Named Entity Typing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-49C3-C %U https://aclweb.org/anthology/D/D15/D15-1103 %D 2015 %B Conference on Empirical Methods in Natural Language Processing %Z date of event: 2015-09-17 - 2015-09-21 %C Lisbon, Portugal %B Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing %P 868 - 878 %I ACL %@ 978-1-941643-32-7 %U https://www.cs.cmu.edu/~ark/EMNLP-2015/proceedings/EMNLP/pdf/EMNLP103.pdf
[16]
S. Dutta, S. Bhattacherjee, and A. Narang, “Mining Wireless Intelligence using Unsupervised Edge and Core Analytics,” in 2nd Workshop on Smarter Planet and Big Data Analytics, Goa, Indien. (Accepted/in press)
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@inproceedings{SouSPBDA2015, TITLE = {Mining Wireless Intelligence using Unsupervised Edge and Core Analytics}, AUTHOR = {Dutta, Sourav and Bhattacherjee, Souvik and Narang, Ankur}, LANGUAGE = {eng}, YEAR = {2015}, PUBLREMARK = {Accepted}, BOOKTITLE = {2nd Workshop on Smarter Planet and Big Data Analytics}, ADDRESS = {Goa, Indien}, }
Endnote
%0 Conference Proceedings %A Dutta, Sourav %A Bhattacherjee, Souvik %A Narang, Ankur %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Mining Wireless Intelligence using Unsupervised Edge and Core Analytics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-54B5-0 %D 2014 %B 2nd Workshop on Smarter Planet and Big Data Analytics %Z date of event: 2015-01-04 - 2015-01-07 %C Goa, Indien %B 2nd Workshop on Smarter Planet and Big Data Analytics
[17]
S. Dutta, “MIST: Top-k Approximate Sub-String Mining using Triplet Statistical Significance,” in Advances in Information Retrieval (ECIR 2015), Vienna, Austria, 2015.
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@inproceedings{SouECIR2015, TITLE = {{MIST}: Top-k Approximate Sub-String Mining using Triplet Statistical Significance}, AUTHOR = {Dutta, Sourav}, LANGUAGE = {eng}, ISBN = {978-3-319-16353-6}, DOI = {10.1007/978-3-319-16354-3_31}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Advances in Information Retrieval (ECIR 2015)}, EDITOR = {Hanbury, Allan and Kazai, Gabriella and Rauber, Andreas and Fuhr, Norbert}, PAGES = {284--290}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {9022}, ADDRESS = {Vienna, Austria}, }
Endnote
%0 Conference Proceedings %A Dutta, Sourav %+ Databases and Information Systems, MPI for Informatics, Max Planck Society %T MIST: Top-k Approximate Sub-String Mining using Triplet Statistical Significance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-54B2-5 %R 10.1007/978-3-319-16354-3_31 %D 2015 %B 37th European Conference on Information Retrieval %Z date of event: 2015-03-29 - 2015-04-02 %C Vienna, Austria %B Advances in Information Retrieval %E Hanbury, Allan; Kazai, Gabriella; Rauber, Andreas; Fuhr, Norbert %P 284 - 290 %I Springer %@ 978-3-319-16353-6 %B Lecture Notes in Computer Science %N 9022
[18]
S. Dutta and G. Weikum, “Cross-document Co-reference Resolution using Sample-based Clustering with Knowledge Enrichment,” Transactions of the Association for Computational Linguistics, vol. 3, 2015.
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@article{SouTACL2015, TITLE = {Cross-document Co-reference Resolution using Sample-based Clustering with Knowledge Enrichment}, AUTHOR = {Dutta, Sourav and Weikum, Gerhard}, LANGUAGE = {eng}, ISSN = {2307-387X}, PUBLISHER = {ACL}, ADDRESS = {Stroudsbourg, PA}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {Transactions of the Association for Computational Linguistics}, VOLUME = {3}, PAGES = {15--28}, }
Endnote
%0 Journal Article %A Dutta, Sourav %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Cross-document Co-reference Resolution using Sample-based Clustering with Knowledge Enrichment : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-54B7-C %7 2015 %D 2015 %J Transactions of the Association for Computational Linguistics %O TACL %V 3 %& 15 %P 15 - 28 %I ACL %C Stroudsbourg, PA %@ false
[19]
S. Dutta, A. Narang, and S. Bhattacherjee, “Predictive Caching Framework for Mobile Wireless Networks,” in MDM 2015, 16th International Conference on Mobile Data Management, Pittsburgh, PA, USA, 2015.
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@inproceedings{DuttaMDM2015, TITLE = {Predictive Caching Framework for Mobile Wireless Networks}, AUTHOR = {Dutta, Sourav and Narang, Ankur and Bhattacherjee, Souvik}, LANGUAGE = {eng}, ISBN = {978-1-4799-9972-9}, DOI = {10.1109/MDM.2015.14}, PUBLISHER = {IEEE}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {MDM 2015, 16th International Conference on Mobile Data Management}, PAGES = {179--184}, ADDRESS = {Pittsburgh, PA, USA}, }
Endnote
%0 Conference Proceedings %A Dutta, Sourav %A Narang, Ankur %A Bhattacherjee, Souvik %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Predictive Caching Framework for Mobile Wireless Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-A5AF-3 %R 10.1109/MDM.2015.14 %D 2015 %B 16th International Conference on Mobile Data Management %Z date of event: 2015-06-15 - 2015-06-18 %C Pittsburgh, PA, USA %B MDM 2015 %P 179 - 184 %I IEEE %@ 978-1-4799-9972-9
[20]
S. Dutta and G. Weikum, “C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015.
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@inproceedings{dutta-weikum:2015:EMNLP, TITLE = {{C3EL}: {A} Joint Model for Cross-Document Co-Reference Resolution and Entity Linking}, AUTHOR = {Dutta, Sourav and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-941643-32-7}, URL = {https://aclweb.org/anthology/D/D15/D15-1101}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)}, PAGES = {846--856}, ADDRESS = {Lisbon, Portugal}, }
Endnote
%0 Conference Proceedings %A Dutta, Sourav %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-49C1-0 %U https://aclweb.org/anthology/D/D15/D15-1101 %D 2015 %B Conference on Empirical Methods in Natural Language Processing %Z date of event: 2015-09-17 - 2015-09-21 %C Lisbon, Portugal %B Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing %P 846 - 856 %I ACL %@ 978-1-941643-32-7 %U https://www.cs.cmu.edu/~ark/EMNLP-2015/proceedings/EMNLP/pdf/EMNLP101.pdf
[21]
P. Ernst, A. Siu, and G. Weikum, “KnowLife: A Versatile Approach for Constructing a Large Knowledge Graph for Biomedical Sciences,” BMC Bioinformatics, vol. 16, no. 1, 2015.
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@article{ErnstSiuWeikum2015, TITLE = {{KnowLife}: A Versatile Approach for Constructing a Large Knowledge Graph for Biomedical Sciences}, AUTHOR = {Ernst, Patrick and Siu, Amy and Weikum, Gerhard}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4448285&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/s12859-015-0549-5}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, JOURNAL = {BMC Bioinformatics}, VOLUME = {16}, NUMBER = {1}, EID = {157}, }
Endnote
%0 Journal Article %A Ernst, Patrick %A Siu, Amy %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T KnowLife: A Versatile Approach for Constructing a Large Knowledge Graph for Biomedical Sciences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-7AB7-0 %F OTHER: pmcidPMC4448285 %F OTHER: pmc-uid4448285 %F OTHER: publisher-id549 %R 10.1186/s12859-015-0549-5 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4448285&tool=pmcentrez&rendertype=abstract %7 2015-05-14 %D 2015 %8 14.05.2015 %K Relation extraction %J BMC Bioinformatics %V 16 %N 1 %Z sequence number: 157 %I BioMed Central %C London %@ false
[22]
M. Gad-Elrab, “AIDArabic+ Named Entity Disambiguation for Arabic Text,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{Gad-ElrabMaster2015, TITLE = {{AIDArabic}+ Named Entity Disambiguation for Arabic Text}, AUTHOR = {Gad-Elrab, Mohamed}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Gad-Elrab, Mohamed %Y Weikum, Gerhard %A referee: Berberich, Klaus %+ International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T AIDArabic+ Named Entity Disambiguation for Arabic Text : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-0F70-5 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 56 p. %V master %9 master
[23]
M. H. Gad-Elrab, M. A. Yosef, and G. Weikum, “Named Entity Disambiguation for Resource-poor Languages,” in ESAIR’15, Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval, Melbourne, Australia, 2015.
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@inproceedings{Gad-ElrabESAIR2015, TITLE = {Named Entity Disambiguation for Resource-poor Languages}, AUTHOR = {Gad-Elrab, Mohamed H. and Yosef, Mohamed Amir and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-3790-8}, DOI = {10.1145/2810133.2810138}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {ESAIR'15, Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval}, EDITOR = {Alonso, Omar and Kamps, Jaap and Karlgren, Jussi}, PAGES = {29--34}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %A Gad-Elrab, Mohamed H. %A Yosef, Mohamed Amir %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Named Entity Disambiguation for Resource-poor Languages : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-077F-B %R 10.1145/2810133.2810138 %D 2015 %B Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval %Z date of event: 2015-10-23 - 2015-10-23 %C Melbourne, Australia %B ESAIR'15 %E Alonso, Omar; Kamps, Jaap; Karlgren, Jussi %P 29 - 34 %I ACM %@ 978-1-4503-3790-8
[24]
M. H. Gad-Elrab, M. A. Yosef, and G. Weikum, “EDRAK: Entity-Centric Data Resource for Arabic Knowledge,” in The Second Workshop on Arabic Natural Language Processing (ANLP 2015), Beijing, China, 2015.
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@inproceedings{Gad-ElrabAnLP2015, TITLE = {{EDRAK}: {E}ntity-Centric Data Resource for {Arabic} Knowledge}, AUTHOR = {Gad-Elrab, Mohamed H. and Yosef, Mohamed Amir and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-941643-58-7}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {The Second Workshop on Arabic Natural Language Processing (ANLP 2015)}, PAGES = {191--200}, ADDRESS = {Beijing, China}, }
Endnote
%0 Conference Proceedings %A Gad-Elrab, Mohamed H. %A Yosef, Mohamed Amir %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T EDRAK: Entity-Centric Data Resource for Arabic Knowledge : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-0773-3 %D 2015 %B The Second Workshop on Arabic Natural Language Processing %Z date of event: 2015-07-26 - 2015-07-31 %C Beijing, China %B The Second Workshop on Arabic Natural Language Processing %P 191 - 200 %I ACL %@ 978-1-941643-58-7
[25]
L. Galárraga, C. Teflioudi, K. Hose, and F. M. Suchanek, “Fast Rule Mining in Ontological Knowledge Bases with AMIE+,” The VLDB Journal, vol. 24, no. 6, 2015.
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@article{Galarrag2015, TITLE = {Fast Rule Mining in Ontological Knowledge Bases with {AMIE}+}, AUTHOR = {Gal{\'a}rraga, Luis and Teflioudi, Christina and Hose, Katja and Suchanek, Fabian M.}, LANGUAGE = {eng}, ISSN = {1066-8888}, DOI = {10.1007/s00778-015-0394-1}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {The VLDB Journal}, VOLUME = {24}, NUMBER = {6}, PAGES = {707--730}, }
Endnote
%0 Journal Article %A Galárraga, Luis %A Teflioudi, Christina %A Hose, Katja %A Suchanek, Fabian M. %+ External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations Télécom ParisTech %T Fast Rule Mining in Ontological Knowledge Bases with AMIE+ : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-3510-3 %R 10.1007/s00778-015-0394-1 %7 2015 %D 2015 %J The VLDB Journal %V 24 %N 6 %& 707 %P 707 - 730 %I Springer %C Berlin %@ false
[26]
J. Geiß, A. Spitz, J. Strötgen, and M. Gertz, “The Wikipedia Location Network - Overcoming Borders and Oceans,” in Proceedings of the 9th Workshop on Geographic Information Retrieval (GIR 2015), Paris, France, 2015.
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@inproceedings{GIR2015, TITLE = {The {Wikipedia} Location Network -- Overcoming Borders and Oceans}, AUTHOR = {Gei{\ss}, Johanna and Spitz, Andreas and Str{\"o}tgen, Jannik and Gertz, Michael}, LANGUAGE = {eng}, ISBN = {978-1-4503-3937-7}, DOI = {10.1145/2837689.2837694}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 9th Workshop on Geographic Information Retrieval (GIR 2015)}, EDITOR = {Purves, Ross S. and Jones, Christopher B.}, PAGES = {1--3}, EID = {2}, ADDRESS = {Paris, France}, }
Endnote
%0 Conference Proceedings %A Geiß, Johanna %A Spitz, Andreas %A Strötgen, Jannik %A Gertz, Michael %+ External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T The Wikipedia Location Network - Overcoming Borders and Oceans : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-216D-0 %R 10.1145/2837689.2837694 %D 2015 %B 9th Workshop on Geographic Information Retrieval %Z date of event: 2015-11-26 - 2015-11-27 %C Paris, France %B Proceedings of the 9th Workshop on Geographic Information Retrieval %E Purves, Ross S.; Jones, Christopher B. %P 1 - 3 %Z sequence number: 2 %I ACM %@ 978-1-4503-3937-7
[27]
A. Grycner, G. Weikum, J. Pujara, J. Foulds, and L. Getoor, “RELLY: Inferring Hypernym Relationships Between Relational Phrases,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015.
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@inproceedings{grycner-EtAl:2015:EMNLP, TITLE = {{RELLY}: {I}nferring Hypernym Relationships Between Relational Phrases}, AUTHOR = {Grycner, Adam and Weikum, Gerhard and Pujara, Jay and Foulds, James and Getoor, Lise}, LANGUAGE = {eng}, ISBN = {978-1-941643-32-7}, URL = {http://aclweb.org/anthology/D15-1113}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)}, PAGES = {971--981}, ADDRESS = {Lisbon, Portugal}, }
Endnote
%0 Conference Proceedings %A Grycner, Adam %A Weikum, Gerhard %A Pujara, Jay %A Foulds, James %A Getoor, Lise %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T RELLY: Inferring Hypernym Relationships Between Relational Phrases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-49B0-5 %U http://aclweb.org/anthology/D15-1113 %D 2015 %B Conference on Empirical Methods in Natural Language Processing %Z date of event: 2015-09-17 - 2015-09-21 %C Lisbon, Portugal %B Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing %P 971 - 981 %I ACL %@ 978-1-941643-32-7 %U https://www.cs.cmu.edu/~ark/EMNLP-2015/proceedings/EMNLP/pdf/EMNLP113.pdf
[28]
D. Gupta and K. Berberich, “Temporal Query Classification at Different Granularities,” in String Processing and Information Retrieval (SPIRE 2015), London, UK, 2015.
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@inproceedings{spire15-gupta, TITLE = {Temporal Query Classification at Different Granularities}, AUTHOR = {Gupta, Dhruv and Berberich, Klaus}, LANGUAGE = {eng}, ISBN = {978-3-319-23825-8}, DOI = {10.1007/978-3-319-23826-5_16}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {String Processing and Information Retrieval (SPIRE 2015)}, EDITOR = {Iliopoulos, Costas S. and Publisi, Simon J. and Yilmaz, Emine}, PAGES = {137--148}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {9309}, ADDRESS = {London, UK}, }
Endnote
%0 Conference Proceedings %A Gupta, Dhruv %A Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Temporal Query Classification at Different Granularities : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-4249-D %R 10.1007/978-3-319-23826-5_16 %D 2015 %B 22nd International Symposium on String Processing and Information Retrieval %Z date of event: 2015-08-31 - 2015-09-02 %C London, UK %B String Processing and Information Retrieval %E Iliopoulos, Costas S.; Publisi, Simon J.; Yilmaz, Emine %P 137 - 148 %I Springer %@ 978-3-319-23825-8 %B Lecture Notes in Computer Science %N 9309
[29]
C. D. Hariman, “Part-Whole Commonsense Knowledge Harvesting from the Web,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{HarimanMaster2015, TITLE = {Part-Whole Commonsense Knowledge Harvesting from the Web}, AUTHOR = {Hariman, Charles Darwis}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Hariman, Charles Darwis %Y Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Part-Whole Commonsense Knowledge Harvesting from the Web : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-C0E6-C %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 53 p. %V master %9 master
[30]
J. Hoffart, “Discovering and Disambiguating Named Entities in Text,” Universität des Saarlandes, Saarbrücken, 2015.
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@phdthesis{Hoffartthesis, TITLE = {Discovering and Disambiguating Named Entities in Text}, AUTHOR = {Hoffart, Johannes}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Hoffart, Johannes %Y Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Discovering and Disambiguating Named Entities in Text : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-6C44-0 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P X, 103 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=dehttp://scidok.sulb.uni-saarland.de/volltexte/2015/6022/
[31]
J. Hoffart, N. Preda, F. M. Suchanek, and G. Weikum, “Knowledge Bases for Web Content Analytics,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{hoffart2015knowledgebases, TITLE = {Knowledge Bases for {Web} Content Analytics}, AUTHOR = {Hoffart, Johannes and Preda, Nicoleta and Suchanek, Fabian M. and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2741984}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {1535--1535}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Hoffart, Johannes %A Preda, Nicoleta %A Suchanek, Fabian M. %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T Knowledge Bases for Web Content Analytics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-8E68-7 %R 10.1145/2740908.2741984 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-05-18 - 2015-05-22 %C Florence, Italy %B WWW'15 Companion %P 1535 - 1535 %I ACM %@ 978-1-4503-3473-0
[32]
K. Hui and K. Berberich, “Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation,” in String Processing and Information Retrieval (SPIRE 2015), London, UK, 2015.
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@inproceedings{spire15-kaihui, TITLE = {Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation}, AUTHOR = {Hui, Kai and Berberich, Klaus}, LANGUAGE = {eng}, ISBN = {978-3-319-23825-8}, DOI = {10.1007/978-3-319-23826-5_14}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {String Processing and Information Retrieval (SPIRE 2015)}, EDITOR = {Iliopoulos, Costas S. and Publisi, Simon J. and Yilmaz, Emine}, PAGES = {137--148}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {9309}, ADDRESS = {London, UK}, }
Endnote
%0 Conference Proceedings %A Hui, Kai %A Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-5DAA-5 %R 10.1007/978-3-319-23826-5_14 %D 2015 %B 22nd International Symposium on String Processing and Information Retrieval %Z date of event: 2015-08-31 - 2015-09-02 %C London, UK %B String Processing and Information Retrieval %E Iliopoulos, Costas S.; Publisi, Simon J.; Yilmaz, Emine %P 137 - 148 %I Springer %@ 978-3-319-23825-8 %B Lecture Notes in Computer Science %N 9309
[33]
S. Karaev, P. Miettinen, and J. Vreeken, “Getting to Know the Unknown Unknowns: Destructive-noise Resistant Boolean Matrix Factorization,” in Proceedings of the 2015 SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada, 2015.
Abstract
Finding patterns from binary data is a classical problem in data mining, dating back to at least frequent itemset mining. More recently, approaches such as tiling and Boolean matrix factorization (BMF), have been proposed to find sets of patterns that aim to explain the full data well. These methods, however, are not robust against non-trivial destructive noise, i.e. when relatively many 1s are removed from the data: tiling can only model additive noise while BMF assumes approximately equal amounts of additive and destructive noise. Most real-world binary datasets, however, exhibit mostly destructive noise. In presence/absence data, for instance, it is much more common to fail to observe something than it is to observe a spurious presence. To address this problem, we take the recent approach of employing the Minimum Description Length (MDL) principle for BMF and introduce a new algorithm, Nassau, that directly optimizes the description length of the factorization instead of the reconstruction error. In addition, unlike the previous algorithms, it can adjust the factors it has discovered during its search. Empirical evaluation on synthetic data shows that Nassau excels at datasets with high destructive noise levels and its performance on real-world datasets confirms our hypothesis of the high numbers of missing observations in the real-world data.
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@inproceedings{karaev15getting, TITLE = {Getting to Know the Unknown Unknowns: {D}estructive-noise Resistant {Boolean} Matrix Factorization}, AUTHOR = {Karaev, Sanjar and Miettinen, Pauli and Vreeken, Jilles}, LANGUAGE = {eng}, ISBN = {978-1-61197-401-0}, DOI = {10.1137/1.9781611974010.37}, PUBLISHER = {SIAM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, ABSTRACT = {Finding patterns from binary data is a classical problem in data mining, dating back to at least frequent itemset mining. More recently, approaches such as tiling and Boolean matrix factorization (BMF), have been proposed to find sets of patterns that aim to explain the full data well. These methods, however, are not robust against non-trivial destructive noise, i.e. when relatively many 1s are removed from the data: tiling can only model additive noise while BMF assumes approximately equal amounts of additive and destructive noise. Most real-world binary datasets, however, exhibit mostly destructive noise. In presence/absence data, for instance, it is much more common to fail to observe something than it is to observe a spurious presence. To address this problem, we take the recent approach of employing the Minimum Description Length (MDL) principle for BMF and introduce a new algorithm, Nassau, that directly optimizes the description length of the factorization instead of the reconstruction error. In addition, unlike the previous algorithms, it can adjust the factors it has discovered during its search. Empirical evaluation on synthetic data shows that Nassau excels at datasets with high destructive noise levels and its performance on real-world datasets confirms our hypothesis of the high numbers of missing observations in the real-world data.}, BOOKTITLE = {Proceedings of the 2015 SIAM International Conference on Data Mining (SDM 2015)}, EDITOR = {Venkatasubramanian, Suresh and Ye, Jieping}, PAGES = {325--333}, ADDRESS = {Vancouver, Canada}, }
Endnote
%0 Conference Proceedings %A Karaev, Sanjar %A Miettinen, Pauli %A Vreeken, Jilles %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Getting to Know the Unknown Unknowns: Destructive-noise Resistant Boolean Matrix Factorization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6C59-C %R 10.1137/1.9781611974010.37 %D 2015 %B 15th SIAM International Conference on Data Mining %Z date of event: 2015-04-30 - 2015-05-02 %C Vancouver, Canada %X Finding patterns from binary data is a classical problem in data mining, dating back to at least frequent itemset mining. More recently, approaches such as tiling and Boolean matrix factorization (BMF), have been proposed to find sets of patterns that aim to explain the full data well. These methods, however, are not robust against non-trivial destructive noise, i.e. when relatively many 1s are removed from the data: tiling can only model additive noise while BMF assumes approximately equal amounts of additive and destructive noise. Most real-world binary datasets, however, exhibit mostly destructive noise. In presence/absence data, for instance, it is much more common to fail to observe something than it is to observe a spurious presence. To address this problem, we take the recent approach of employing the Minimum Description Length (MDL) principle for BMF and introduce a new algorithm, Nassau, that directly optimizes the description length of the factorization instead of the reconstruction error. In addition, unlike the previous algorithms, it can adjust the factors it has discovered during its search. Empirical evaluation on synthetic data shows that Nassau excels at datasets with high destructive noise levels and its performance on real-world datasets confirms our hypothesis of the high numbers of missing observations in the real-world data. %B Proceedings of the 2015 SIAM International Conference on Data Mining %E Venkatasubramanian, Suresh; Ye, Jieping %P 325 - 333 %I SIAM %@ 978-1-61197-401-0
[34]
A. Kopali, “Mitigation of Privacy Risk for Search Queries,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{KopaliMSc2015, TITLE = {Mitigation of Privacy Risk for Search Queries}, AUTHOR = {Kopali, Agim}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Kopali, Agim %Y Weikum, Gerhard %A referee: Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Mitigation of Privacy Risk for Search Queries : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-48CC-F %I Universität des Saarlandes %C Saarbrücken %D 2015 %P X, 48 p. %V master %9 master
[35]
D. Koutra, U. Kang, J. Vreeken, and C. Faloutsos, “Summarizing and Understanding Large Graphs,” Statistical Analysis and Data Mining, vol. 8, no. 3, 2015.
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@article{koutra:15:vog, TITLE = {Summarizing and Understanding Large Graphs}, AUTHOR = {Koutra, Danai and Kang, U and Vreeken, Jilles and Faloutsos, Christos}, LANGUAGE = {eng}, ISSN = {1932-1872}, DOI = {10.1002/sam.11267}, PUBLISHER = {Wiley-Blackwell}, ADDRESS = {Chichester}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {Statistical Analysis and Data Mining}, VOLUME = {8}, NUMBER = {3}, PAGES = {183--202}, }
Endnote
%0 Journal Article %A Koutra, Danai %A Kang, U %A Vreeken, Jilles %A Faloutsos, Christos %+ External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Summarizing and Understanding Large Graphs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-D185-2 %R 10.1002/sam.11267 %7 2015-05-18 %D 2015 %J Statistical Analysis and Data Mining %O The ASA Data Science Journal %V 8 %N 3 %& 183 %P 183 - 202 %I Wiley-Blackwell %C Chichester %@ false
[36]
P. Mandros, “Information Theoretic Supervised Feature Selection for Continuous Data,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{MandrosMaster2015, TITLE = {Information Theoretic Supervised Feature Selection for Continuous Data}, AUTHOR = {Mandros, Panagiotis}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Mandros, Panagiotis %Y Weikum, Gerhard %A referee: Vreeken, Jilles %+ International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Information Theoretic Supervised Feature Selection for Continuous Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-BAF3-F %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 67 p. %V master %9 master
[37]
S. Metzger, R. Schenkel, and M. Sydow, “Aspect-based Similar Entity Search in Semantic Knowledge Graphs with Diversity-awareness and Relaxation,” in The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops (WI-IAT 2014), Warsaw, Poland, 2015.
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@inproceedings{MetzgerIAT2014, TITLE = {Aspect-based Similar Entity Search in Semantic Knowledge Graphs with Diversity-awareness and Relaxation}, AUTHOR = {Metzger, Steffen and Schenkel, Ralf and Sydow, Marcin}, LANGUAGE = {eng}, ISBN = {978-1-4799-4143-8}, DOI = {10.1109/WI-IAT.2014.17}, PUBLISHER = {IEEE}, YEAR = {2014}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology -- Workshops (WI-IAT 2014)}, EDITOR = {{\'S}l{\c e}zak, Dominik and Nguyen, Hung Son and Reformat, Marek and Santos, Eugene}, PAGES = {60--69}, ADDRESS = {Warsaw, Poland}, }
Endnote
%0 Conference Proceedings %A Metzger, Steffen %A Schenkel, Ralf %A Sydow, Marcin %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Aspect-based Similar Entity Search in Semantic Knowledge Graphs with Diversity-awareness and Relaxation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-424D-5 %R 10.1109/WI-IAT.2014.17 %D 2015 %B IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology %Z date of event: 2014-08-11 - 2014-08-14 %C Warsaw, Poland %B The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops %E Ślęzak, Dominik; Nguyen, Hung Son; Reformat, Marek; Santos, Eugene %P 60 - 69 %I IEEE %@ 978-1-4799-4143-8
[38]
S. Metzler and P. Miettinen, “On Defining SPARQL with Boolean Tensor Algebra,” 2015. [Online]. Available: http://arxiv.org/abs/1503.00301. (arXiv: 1503.00301)
Abstract
The Resource Description Framework (RDF) represents information as subject-predicate-object triples. These triples are commonly interpreted as a directed labelled graph. We propose an alternative approach, interpreting the data as a 3-way Boolean tensor. We show how SPARQL queries - the standard queries for RDF - can be expressed as elementary operations in Boolean algebra, giving us a complete re-interpretation of RDF and SPARQL. We show how the Boolean tensor interpretation allows for new optimizations and analyses of the complexity of SPARQL queries. For example, estimating the size of the results for different join queries becomes much simpler.
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@online{metzler15defining:arxiv, TITLE = {On Defining {SPARQL} with {B}oolean Tensor Algebra}, AUTHOR = {Metzler, Saskia and Miettinen, Pauli}, LANGUAGE = {eng}, URL = {http://arxiv.org/abs/1503.00301}, EPRINT = {1503.00301}, EPRINTTYPE = {arXiv}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, ABSTRACT = {The Resource Description Framework (RDF) represents information as subject-predicate-object triples. These triples are commonly interpreted as a directed labelled graph. We propose an alternative approach, interpreting the data as a 3-way Boolean tensor. We show how SPARQL queries -- the standard queries for RDF -- can be expressed as elementary operations in Boolean algebra, giving us a complete re-interpretation of RDF and SPARQL. We show how the Boolean tensor interpretation allows for new optimizations and analyses of the complexity of SPARQL queries. For example, estimating the size of the results for different join queries becomes much simpler.}, }
Endnote
%0 Report %A Metzler, Saskia %A Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T On Defining SPARQL with Boolean Tensor Algebra : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-054A-9 %U http://arxiv.org/abs/1503.00301 %D 2015 %8 03.03.2015 %X The Resource Description Framework (RDF) represents information as subject-predicate-object triples. These triples are commonly interpreted as a directed labelled graph. We propose an alternative approach, interpreting the data as a 3-way Boolean tensor. We show how SPARQL queries - the standard queries for RDF - can be expressed as elementary operations in Boolean algebra, giving us a complete re-interpretation of RDF and SPARQL. We show how the Boolean tensor interpretation allows for new optimizations and analyses of the complexity of SPARQL queries. For example, estimating the size of the results for different join queries becomes much simpler. %K Computer Science, Databases, cs.DB
[39]
S. Metzler and P. Miettinen, “Clustering Boolean Tensors,” 2015. [Online]. Available: http://arxiv.org/abs/1501.00696. (arXiv: 1501.00696)
Abstract
Tensor factorizations are computationally hard problems, and in particular, are often significantly harder than their matrix counterparts. In case of Boolean tensor factorizations -- where the input tensor and all the factors are required to be binary and we use Boolean algebra -- much of that hardness comes from the possibility of overlapping components. Yet, in many applications we are perfectly happy to partition at least one of the modes. In this paper we investigate what consequences does this partitioning have on the computational complexity of the Boolean tensor factorizations and present a new algorithm for the resulting clustering problem. This algorithm can alternatively be seen as a particularly regularized clustering algorithm that can handle extremely high-dimensional observations. We analyse our algorithms with the goal of maximizing the similarity and argue that this is more meaningful than minimizing the dissimilarity. As a by-product we obtain a PTAS and an efficient 0.828-approximation algorithm for rank-1 binary factorizations. Our algorithm for Boolean tensor clustering achieves high scalability, high similarity, and good generalization to unseen data with both synthetic and real-world data sets.
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@online{metzler15clustering:arxiv, TITLE = {Clustering {Boolean} Tensors}, AUTHOR = {Metzler, Saskia and Miettinen, Pauli}, LANGUAGE = {eng}, URL = {http://arxiv.org/abs/1501.00696}, EPRINT = {1501.00696}, EPRINTTYPE = {arXiv}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, ABSTRACT = {Tensor factorizations are computationally hard problems, and in particular, are often significantly harder than their matrix counterparts. In case of Boolean tensor factorizations -- where the input tensor and all the factors are required to be binary and we use Boolean algebra -- much of that hardness comes from the possibility of overlapping components. Yet, in many applications we are perfectly happy to partition at least one of the modes. In this paper we investigate what consequences does this partitioning have on the computational complexity of the Boolean tensor factorizations and present a new algorithm for the resulting clustering problem. This algorithm can alternatively be seen as a particularly regularized clustering algorithm that can handle extremely high-dimensional observations. We analyse our algorithms with the goal of maximizing the similarity and argue that this is more meaningful than minimizing the dissimilarity. As a by-product we obtain a PTAS and an efficient 0.828-approximation algorithm for rank-1 binary factorizations. Our algorithm for Boolean tensor clustering achieves high scalability, high similarity, and good generalization to unseen data with both synthetic and real-world data sets.}, }
Endnote
%0 Report %A Metzler, Saskia %A Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Clustering Boolean Tensors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6C5B-8 %U http://arxiv.org/abs/1501.00696 %D 2015 %X Tensor factorizations are computationally hard problems, and in particular, are often significantly harder than their matrix counterparts. In case of Boolean tensor factorizations -- where the input tensor and all the factors are required to be binary and we use Boolean algebra -- much of that hardness comes from the possibility of overlapping components. Yet, in many applications we are perfectly happy to partition at least one of the modes. In this paper we investigate what consequences does this partitioning have on the computational complexity of the Boolean tensor factorizations and present a new algorithm for the resulting clustering problem. This algorithm can alternatively be seen as a particularly regularized clustering algorithm that can handle extremely high-dimensional observations. We analyse our algorithms with the goal of maximizing the similarity and argue that this is more meaningful than minimizing the dissimilarity. As a by-product we obtain a PTAS and an efficient 0.828-approximation algorithm for rank-1 binary factorizations. Our algorithm for Boolean tensor clustering achieves high scalability, high similarity, and good generalization to unseen data with both synthetic and real-world data sets. %K Computer Science, Numerical Analysis, cs.NA,Computer Science, Data Structures and Algorithms, cs.DS
[40]
S. Metzler and P. Miettinen, “Join Size Estimation on Boolean Tensors of RDF Data,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{metzler15join, TITLE = {Join Size Estimation on {Boolean} Tensors of {RDF} Data}, AUTHOR = {Metzler, Saskia and Miettinen, Pauli}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2742738}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {77--78}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Metzler, Saskia %A Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Join Size Estimation on Boolean Tensors of RDF Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-CCED-A %R 10.1145/2740908.2742738 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-05-18 - 2015-05-22 %C Florence, Italy %B WWW'15 Companion %P 77 - 78 %I ACM %@ 978-1-4503-3473-0
[41]
S. Metzler and P. Miettinen, “Clustering Boolean Tensors,” Data Mining and Knowledge Discovery, vol. 29, no. 5, 2015.
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@article{MetzlerMiettinen2015, TITLE = {Clustering {Boolean} tensors}, AUTHOR = {Metzler, Saskia and Miettinen, Pauli}, LANGUAGE = {eng}, DOI = {10.1007/s10618-015-0420-3}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {Data Mining and Knowledge Discovery}, VOLUME = {29}, NUMBER = {5}, PAGES = {1343--1373}, }
Endnote
%0 Journal Article %A Metzler, Saskia %A Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Clustering Boolean Tensors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-536A-B %R 10.1007/s10618-015-0420-3 %7 2015 %D 2015 %J Data Mining and Knowledge Discovery %V 29 %N 5 %& 1343 %P 1343 - 1373 %I Springer %C New York, NY
[42]
P. Miettinen, “Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks,” in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, 2015.
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@inproceedings{MiettinenECML2015, TITLE = {Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: {C}omplexity Beyond Blocks}, AUTHOR = {Miettinen, Pauli}, LANGUAGE = {eng}, ISBN = {978-3-319-23524-0}, DOI = {10.1007/978-3-319-23525-7_3}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015)}, EDITOR = {Appice, Annalisa and Pereira Rodrigues, Pedro and Gama, Jo{\~a}o and Al{\'i}pio, Jorge and Soares, Carlos}, PAGES = {36--52}, SERIES = {Lecture Notes in Artificial Intelligence}, VOLUME = {9285}, ADDRESS = {Porto, Portugal}, }
Endnote
%0 Conference Proceedings %A Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society %T Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-2278-1 %R 10.1007/978-3-319-23525-7_3 %D 2015 %B European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases %Z date of event: 2015-09-07 - 2015-09-11 %C Porto, Portugal %B Machine Learning and Knowledge Discovery in Databases %E Appice, Annalisa; Pereira Rodrigues, Pedro; Gama, João; Alípio, Jorge; Soares, Carlos %P 36 - 52 %I Springer %@ 978-3-319-23524-0 %B Lecture Notes in Artificial Intelligence %N 9285
[43]
A. Mishra and K. Berberich, “EXPOSÉ: EXploring Past news fOr Seminal Events,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{MishraWWW2015, TITLE = {{EXPOS{\'E}}: {EXploring Past news for Seminal Events}}, AUTHOR = {Mishra, Arunav and Berberich, Klaus}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2742844}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {223--226}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Mishra, Arunav %A Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T EXPOSÉ: EXploring Past news fOr Seminal Events : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E33E-F %R 10.1145/2740908.2742844 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-04-18 - 2015-04-22 %C Florence, Italy %B WWW'15 Companion %P 223 - 226 %I ACM %@ 978-1-4503-3473-0
[44]
S. Mukherjee, H. Lamba, and G. Weikum, “Experience-aware Item Recommendation in Evolving Review Communities,” in 15th IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ, USA, 2015.
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@inproceedings{mukherjee-experience-model, TITLE = {Experience-aware Item Recommendation in Evolving Review Communities}, AUTHOR = {Mukherjee, Subhabrata and Lamba, Hemank and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4673-9503-8}, DOI = {10.1109/ICDM.2015.111}, PUBLISHER = {IEEE}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {15th IEEE International Conference on Data Mining (ICDM 2015)}, EDITOR = {Aggarwal, Charu and Zhou, Zhi-Hua and Tuzhilin, Alexander and Xiong, Hui and Wu, Xindong}, PAGES = {925--930}, ADDRESS = {Atlantic City, NJ, USA}, }
Endnote
%0 Conference Proceedings %A Mukherjee, Subhabrata %A Lamba, Hemank %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T Experience-aware Item Recommendation in Evolving Review Communities : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-49F3-F %R 10.1109/ICDM.2015.111 %D 2015 %B 15th International Conference on Data Mining %Z date of event: 2015-11-14 - 2015-11-17 %C Atlantic City, NJ, USA %B 15th IEEE International Conference on Data Mining %E Aggarwal, Charu; Zhou, Zhi-Hua; Tuzhilin, Alexander; Xiong, Hui; Wu, Xindong %P 925 - 930 %I IEEE %@ 978-1-4673-9503-8
[45]
S. Mukherjee and G. Weikum, “Leveraging Joint Interactions for Credibility Analysis in News Communities,” in CIKM’15, 24th ACM International Conference on Information and Knowledge Management, Melbourne, Australia, 2015.
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@inproceedings{mukherjee-credibility-analysis, TITLE = {Leveraging Joint Interactions for Credibility Analysis in News Communities}, AUTHOR = {Mukherjee, Subhabrata and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-3794-6}, DOI = {10.1145/2806416.2806537}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {CIKM'15, 24th ACM International Conference on Information and Knowledge Management}, PAGES = {353--362}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %A Mukherjee, Subhabrata %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Leveraging Joint Interactions for Credibility Analysis in News Communities : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-49DE-1 %R 10.1145/2806416.2806537 %D 2015 %B 24th ACM International Conference on Information and Knowledge Management %Z date of event: 2015-10-19 - 2015-10-23 %C Melbourne, Australia %B CIKM'15 %P 353 - 362 %I ACM %@ 978-1-4503-3794-6
[46]
S. Neumann, “On Some Problems of Rounding Rank,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{NeumannMaster2015, TITLE = {On Some Problems of Rounding Rank}, AUTHOR = {Neumann, Stefan}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Neumann, Stefan %Y Miettinen, Pauli %A referee: Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T On Some Problems of Rounding Rank : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-57D6-2 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P X, 77 p. %V master %9 master
[47]
H.-V. Nguyen and J. Vreeken, “Non-parametric Jensen-Shannon Divergence,” in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, 2015.
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@inproceedings{NguyenECML2015, TITLE = {Non-parametric {Jensen}-{Shannon} Divergence}, AUTHOR = {Nguyen, Hoang-Vu and Vreeken, Jilles}, LANGUAGE = {eng}, ISBN = {978-3-319-23524-0}, DOI = {10.1007/978-3-319-23525-7_11}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015)}, EDITOR = {Appice, Annalisa and Pereira Rodrigues, Pedro and Gama, Jo{\~a}o and Al{\'i}pio, Jorge and Soares, Carlos}, PAGES = {173--189}, SERIES = {Lecture Notes in Artificial Intelligence}, VOLUME = {9285}, ADDRESS = {Porto, Portugal}, }
Endnote
%0 Conference Proceedings %A Nguyen, Hoang-Vu %A Vreeken, Jilles %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Non-parametric Jensen-Shannon Divergence : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-2286-3 %R 10.1007/978-3-319-23525-7_11 %D 2015 %B European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases %Z date of event: 2015-09-07 - 2015-09-11 %C Porto, Portugal %B Machine Learning and Knowledge Discovery in Databases %E Appice, Annalisa; Pereira Rodrigues, Pedro; Gama, João; Alípio, Jorge; Soares, Carlos %P 173 - 189 %I Springer %@ 978-3-319-23524-0 %B Lecture Notes in Artificial Intelligence %N 9285
[48]
F. Petroni, L. Del Corro, and R. Gemulla, “CORE: Context-Aware Open Relation Extraction with Factorization Machines,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015.
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@inproceedings{conf/emnlp/PetroniCG15, TITLE = {{CORE}: {C}ontext-Aware {O}pen {R}elation {E}xtraction with Factorization Machines}, AUTHOR = {Petroni, Fabio and Del Corro, Luciano and Gemulla, Rainer}, LANGUAGE = {eng}, ISBN = {978-1-941643-32-7}, URL = {http://aclweb.org/anthology/D15-1204}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)}, PAGES = {1763--1773}, ADDRESS = {Lisbon, Portugal}, }
Endnote
%0 Conference Proceedings %A Petroni, Fabio %A Del Corro, Luciano %A Gemulla, Rainer %+ External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T CORE: Context-Aware Open Relation Extraction with Factorization Machines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4112-5 %U http://aclweb.org/anthology/D15-1204 %D 2015 %B Conference on Empirical Methods in Natural Language Processing %Z date of event: 2015-09-17 - 2015-09-21 %C Lisbon, Portugal %B Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing %P 1763 - 1773 %I ACL %@ 978-1-941643-32-7 %U http://aclweb.org/anthology/D/D15/D15-1204.pdf
[49]
R. Pienta, Z. Lin, M. Kahng, J. Vreeken, P. P. Talukdar, J. Abello, G. Parameswaran, and D. H. Chau, “AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs,” in IEEE VIS 2015, Chicago, IL, USA, 2015.
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@inproceedings{pienta:15:adaptivenav, TITLE = {{AdaptiveNav}: {A}daptive Discovery of Interesting and Surprising Nodes in Large Graphs}, AUTHOR = {Pienta, Robert and Lin, Zhiyuan and Kahng, Minsuk and Vreeken, Jilles and Talukdar, Partha P. and Abello, James and Parameswaran, Ganesh and Chau, Duen Horng}, LANGUAGE = {eng}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {IEEE VIS 2015}, ADDRESS = {Chicago, IL, USA}, }
Endnote
%0 Conference Proceedings %A Pienta, Robert %A Lin, Zhiyuan %A Kahng, Minsuk %A Vreeken, Jilles %A Talukdar, Partha P. %A Abello, James %A Parameswaran, Ganesh %A Chau, Duen Horng %+ External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-57B4-E %D 2015 %B IEEE VIS 2015 %Z date of event: 2015-10-25 - 2015-10-30 %C Chicago, IL, USA %B IEEE VIS 2015
[50]
N. Prytkova, M. Spaniol, and G. Weikum, “Aligning Multi-cultural Knowledge Taxonomies by Combinatorial Optimization,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{PSWe15, TITLE = {Aligning Multi-cultural Knowledge Taxonomies by Combinatorial Optimization}, AUTHOR = {Prytkova, Natalia and Spaniol, Marc and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2742721}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {93--94}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Prytkova, Natalia %A Spaniol, Marc %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Aligning Multi-cultural Knowledge Taxonomies by Combinatorial Optimization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-06E5-3 %R 10.1145/2740908.2742721 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-05-18 - 2015-05-22 %C Florence, Italy %B WWW'15 Companion %P 93 - 94 %I ACM %@ 978-1-4503-3473-0
[51]
A. Rohrbach, M. Rohrbach, N. Tandon, and B. Schiele, “A Dataset for Movie Description,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, MA, USA, 2015.
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@inproceedings{Rohrbach15cvpr, TITLE = {A Dataset for Movie Description}, AUTHOR = {Rohrbach, Anna and Rohrbach, Marcus and Tandon, Niket and Schiele, Bernt}, LANGUAGE = {eng}, DOI = {10.1109/CVPR.2015.7298940}, PUBLISHER = {IEEE}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)}, PAGES = {3202--3212}, ADDRESS = {Boston, MA, USA}, }
Endnote
%0 Conference Proceedings %A Rohrbach, Anna %A Rohrbach, Marcus %A Tandon, Niket %A Schiele, Bernt %+ Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T A Dataset for Movie Description : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-01B9-B %R 10.1109/CVPR.2015.7298940 %D 2015 %B IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2015-06-08 - 2015-06-10 %C Boston, MA, USA %B IEEE Conference on Computer Vision and Pattern Recognition %P 3202 - 3212 %I IEEE
[52]
C. Schulte, B. Taneva, and G. Weikum, “On-topic Cover Stories from News Archives,” in Advances in Information Retrieval (ECIR 2015), Vienna, Austria, 2015.
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@inproceedings{Schulte:ECIR2015, TITLE = {On-topic Cover Stories from News Archives}, AUTHOR = {Schulte, Christian and Taneva, Bilyana and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-3-319-16353-6}, DOI = {10.1007/978-3-319-16354-3_4}, PUBLISHER = {Springer}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Advances in Information Retrieval (ECIR 2015)}, EDITOR = {Hanbury, Allan and Kazai, Gabriella and Rauber, Andreas and Fuhr, Norbert}, PAGES = {37--42}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {9022}, ADDRESS = {Vienna, Austria}, }
Endnote
%0 Conference Proceedings %A Schulte, Christian %A Taneva, Bilyana %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T On-topic Cover Stories from News Archives : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-A6DE-B %R 10.1007/978-3-319-16354-3_4 %D 2015 %B 37th European Conference on Information Retrieval %Z date of event: 2015-03-29 - 2015-04-02 %C Vienna, Austria %B Advances in Information Retrieval %E Hanbury, Allan; Kazai, Gabriella; Rauber, Andreas; Fuhr, Norbert %P 37 - 42 %I Springer %@ 978-3-319-16353-6 %B Lecture Notes in Computer Science %N 9022
[53]
S. Seufert, “Algorithmic Building Blocks for Relationship Analysis over Large Graphs,” Universität des Saarlandes, Saarbrücken, 2015.
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@phdthesis{Seufertphd15, TITLE = {Algorithmic Building Blocks for Relationship Analysis over Large Graphs}, AUTHOR = {Seufert, Stephan}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Seufert, Stephan %Y Bedathur, Srikanta %A referee: Barbosa, Denilson %A referee: Weidenbach, Christoph %+ Databases and Information Systems, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Automation of Logic, MPI for Informatics, Max Planck Society %T Algorithmic Building Blocks for Relationship Analysis over Large Graphs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-6E65-D %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 198 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2015/6183/http://scidok.sulb.uni-saarland.de/doku/urheberrecht.php?la=de
[54]
D. Seyler, M. Yahya, and K. Berberich, “Generating Quiz Questions from Knowledge Graphs,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{SeylerWWW2015, TITLE = {Generating Quiz Questions from Knowledge Graphs}, AUTHOR = {Seyler, Dominic and Yahya, Mohamed and Berberich, Klaus}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2742722}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {113--114}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Seyler, Dominic %A Yahya, Mohamed %A Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Generating Quiz Questions from Knowledge Graphs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E33C-4 %R 10.1145/2740908.2742722 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-04-18 - 2015-04-22 %C Florence, Italy %B WWW'15 Companion %P 113 - 114 %I ACM %@ 978-1-4503-3473-0
[55]
D. Seyler, “Question Generation from Knowledge Graphs,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{SeylerMaster2015, TITLE = {Question Generation from Knowledge Graphs}, AUTHOR = {Seyler, Dominic}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Seyler, Dominic %Y Berberich, Klaus %A referee: Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Question Generation from Knowledge Graphs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-08B0-4 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P XII, 104 p. %V master %9 master
[56]
E. Shutova, N. Tandon, and G. de Melo, “Perceptually Grounded Selectional Preferences,” in The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL 2015), Beijing, China, 2015.
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@inproceedings{ShutovaTandonDemelo:ACL2015, TITLE = {Perceptually Grounded Selectional Preferences}, AUTHOR = {Shutova, Ekaterina and Tandon, Niket and de Melo, Gerard}, LANGUAGE = {eng}, ISBN = {978-1-941643-72-3}, URL = {http://www.aclweb.org/anthology/P15-1092}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL 2015)}, PAGES = {950--960}, ADDRESS = {Beijing, China}, }
Endnote
%0 Conference Proceedings %A Shutova, Ekaterina %A Tandon, Niket %A de Melo, Gerard %+ External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Perceptually Grounded Selectional Preferences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-54B8-9 %U http://www.aclweb.org/anthology/P15-1092 %D 2015 %Z Review method: peer-reviewed %B 53rd Annual Meeting of the Association for Computational Linguistics %Z date of event: 2015-07-26 - 2015-07-31 %C Beijing, China %B The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing %P 950 - 960 %I ACL %@ 978-1-941643-72-3 %U http://www.aclweb.org/anthology/P/P15/P15-1092.pdf
[57]
A. Sierra, “Ad-hoc Information Retrieval using Annotated Queries and Documents,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{SierraMaster2015, TITLE = {Ad-hoc Information Retrieval using Annotated Queries and Documents}, AUTHOR = {Sierra, Alejandro}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Sierra, Alejandro %+ Databases and Information Systems, MPI for Informatics, Max Planck Society %T Ad-hoc Information Retrieval using Annotated Queries and Documents : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-A968-D %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 68 p. %V master %9 master
[58]
J. Singh, A. Anand, V. Setty, and A. Anand, “Exploring Long Running News Stories using Wikipedia,” in Proceedings of the 2015 ACM Web Science Conference, Oxford, UK, 2015.
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@inproceedings{DBLP:conf/websci/SinghASA15, TITLE = {Exploring Long Running News Stories using {Wikipedia}}, AUTHOR = {Singh, Jaspreet and Anand, Abhijit and Setty, Vinay and Anand, Avishek}, LANGUAGE = {eng}, ISBN = {978-1-4503-3672-7}, DOI = {10.1145/2786451.2786489}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the 2015 ACM Web Science Conference}, EID = {57}, ADDRESS = {Oxford, UK}, }
Endnote
%0 Conference Proceedings %A Singh, Jaspreet %A Anand, Abhijit %A Setty, Vinay %A Anand, Avishek %+ External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Exploring Long Running News Stories using Wikipedia : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-1CB3-4 %R 10.1145/2786451.2786489 %D 2015 %B ACM Web Science Conference %Z date of event: 2015-06-28 - 2015-07-01 %C Oxford, UK %B Proceedings of the 2015 ACM Web Science Conference %Z sequence number: 57 %I ACM %@ 978-1-4503-3672-7
[59]
A. Siu and G. Weikum, “Semantic Type Classification of Common Words in Biomedical Noun Phrases,” in Workshop on Biomedical Natural Language Processing (BioNLP 2015), Beijing, China, 2015.
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@inproceedings{Siu15, TITLE = {Semantic Type Classification of Common Words in Biomedical Noun Phrases}, AUTHOR = {Siu, Amy and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-5108-0943-7}, PUBLISHER = {ACL}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Workshop on Biomedical Natural Language Processing (BioNLP 2015)}, PAGES = {98--103}, ADDRESS = {Beijing, China}, }
Endnote
%0 Conference Proceedings %A Siu, Amy %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Semantic Type Classification of Common Words in Biomedical Noun Phrases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2042-0 %D 2015 %B Workshop on Biomedical Natural Language Processing %Z date of event: 2015-07-30 - 2015-07-30 %C Beijing, China %B Workshop on Biomedical Natural Language Processing %P 98 - 103 %I ACL %@ 978-1-5108-0943-7
[60]
M. Srinivasamurthy, “Mining European Statistics for Social Events,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{SrinivasamurthyMSc2015, TITLE = {Mining European Statistics for Social Events}, AUTHOR = {Srinivasamurthy, Mena}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Srinivasamurthy, Mena %Y Weikum, Gerhard %A referee: Spaniol, Marc %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Mining European Statistics for Social Events : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-43AB-1 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 52 p. %V master %9 master
[61]
S. Sundareisan, J. Vreeken, and B. A. Prakash, “Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics,” in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada, 2015.
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@inproceedings{sundareisan:15:netfill, TITLE = {Hidden Hazards: {Finding} Missing Nodes in Large Graph Epidemics}, AUTHOR = {Sundareisan, Shashi and Vreeken, Jilles and Prakash, B. Aditya}, LANGUAGE = {eng}, ISBN = {978-1-61197-401-0}, DOI = {10.1137/1.9781611974010.47}, PUBLISHER = {SIAM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the SIAM International Conference on Data Mining (SDM 2015)}, EDITOR = {Venkatasubramanian, Suresh and Ye, Jieping}, PAGES = {415--423}, ADDRESS = {Vancouver, Canada}, }
Endnote
%0 Conference Proceedings %A Sundareisan, Shashi %A Vreeken, Jilles %A Prakash, B. Aditya %+ External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-A82A-2 %R 10.1137/1.9781611974010.47 %D 2015 %B 15th SIAM International Conference on Data Mining %Z date of event: 2015-04-30 - 2015-05-02 %C Vancouver, Canada %B Proceedings of the SIAM International Conference on Data Mining %E Venkatasubramanian, Suresh; Ye, Jieping %P 415 - 423 %I SIAM %@ 978-1-61197-401-0
[62]
N. Tandon, G. de Melo, A. De, and G. Weikum, “Lights, Camera, Action: Knowledge Extraction from Movie Scripts,” in WWW’15 Companion, Florence, Italy, 2015.
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@inproceedings{tandon2015moviescripts, TITLE = {Lights, Camera, Action: Knowledge Extraction from Movie Scripts}, AUTHOR = {Tandon, Niket and de Melo, Gerard and De, Abir and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-3473-0}, DOI = {10.1145/2740908.2742756}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {WWW'15 Companion}, PAGES = {127--128}, ADDRESS = {Florence, Italy}, }
Endnote
%0 Conference Proceedings %A Tandon, Niket %A de Melo, Gerard %A De, Abir %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T Lights, Camera, Action: Knowledge Extraction from Movie Scripts : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E32D-6 %R 10.1145/2740908.2742756 %D 2015 %B 24th International Conference on World Wide Web %Z date of event: 2015-05-18 - 2015-05-22 %C Florence, Italy %B WWW'15 Companion %P 127 - 128 %I ACM %@ 978-1-4503-3473-0
[63]
N. Tandon, G. de Melo, A. De, and G. Weikum, “Knowlywood: Mining Activity Knowledge From Hollywood Narratives,” in CIKM’15, 24th ACM International Conference on Information and Knowledge Management, Melbourne, Australia, 2015.
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@inproceedings{Tandon:2015:KMA:2806416.2806583, TITLE = {Knowlywood: {M}ining Activity Knowledge From {H}ollywood Narratives}, AUTHOR = {Tandon, Niket and de Melo, Gerard and De, Abir and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-3794-6}, DOI = {10.1145/2806416.2806583}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {CIKM'15, 24th ACM International Conference on Information and Knowledge Management}, PAGES = {223--232}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %A Tandon, Niket %A de Melo, Gerard %A De, Abir %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T Knowlywood: Mining Activity Knowledge From Hollywood Narratives : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-49E0-A %R 10.1145/2806416.2806583 %D 2015 %B 24th ACM International Conference on Information and Knowledge Management %Z date of event: 2015-10-19 - 2015-10-23 %C Melbourne, Australia %B CIKM'15 %P 223 - 232 %I ACM %@ 978-1-4503-3794-6
[64]
C. Teflioudi, R. Gemulla, and O. Mykytiuk, “LEMP: Fast Retrieval of Large Entries in a Matrix Product,” in SIGMOD’15, ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, 2015.
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@inproceedings{Teflioudi15, TITLE = {{LEMP}: {F}ast Retrieval of Large Entries in a Matrix Product}, AUTHOR = {Teflioudi, Christina and Gemulla, Rainer and Mykytiuk, Olga}, LANGUAGE = {eng}, ISBN = {978-1-4503-2758-9}, DOI = {10.1145/2723372.2747647}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {SIGMOD'15, ACM SIGMOD International Conference on Management of Data}, PAGES = {107--122}, ADDRESS = {Melbourne, Australia}, }
Endnote
%0 Conference Proceedings %A Teflioudi, Christina %A Gemulla, Rainer %A Mykytiuk, Olga %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations %T LEMP: Fast Retrieval of Large Entries in a Matrix Product : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-4A1C-F %R 10.1145/2723372.2747647 %D 2015 %B ACM SIGMOD International Conference on Management of Data %Z date of event: 2015-05-31 - 2015-06-04 %C Melbourne, Australia %B SIGMOD'15 %P 107 - 122 %I ACM %@ 978-1-4503-2758-9
[65]
C. Tryfonopoulos, P. Raftopoulou, V. Setty, and A. Xiros, “Towards Content-Based Publish/Subscribe for Distributed Social Networks,” in DEBS’15, 9th ACM International Conference on Distributed Event-Based Systems, Oslo, Norway, 2015.
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@inproceedings{DBLP:conf/debs/TryfonopoulosRS15, TITLE = {Towards Content-Based Publish/Subscribe for Distributed Social Networks}, AUTHOR = {Tryfonopoulos, Christos and Raftopoulou, Paraskevi and Setty, Vinay and Xiros, Argiris}, LANGUAGE = {eng}, ISBN = {978-1-4503-3286-6}, DOI = {10.1145/2675743.2776770}, PUBLISHER = {ACM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {DEBS'15, 9th ACM International Conference on Distributed Event-Based Systems}, PAGES = {340--343}, ADDRESS = {Oslo, Norway}, }
Endnote
%0 Conference Proceedings %A Tryfonopoulos, Christos %A Raftopoulou, Paraskevi %A Setty, Vinay %A Xiros, Argiris %+ Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Towards Content-Based Publish/Subscribe for Distributed Social Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-1CB1-8 %R 10.1145/2675743.2776770 %D 2015 %B 9th ACM International Conference on Distributed Event-Based Systems %Z date of event: 2015-06-29 - 2015-07-03 %C Oslo, Norway %B DEBS'15 %P 340 - 343 %I ACM %@ 978-1-4503-3286-6
[66]
T. Tylenda, “Methods and Tools for Summarization of Entities and Facts in Knowledge Bases,” Universität des Saarlandes, Saarbrücken, 2015.
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@phdthesis{TylendaPhd15, TITLE = {Methods and Tools for Summarization of Entities and Facts in Knowledge Bases}, AUTHOR = {Tylenda, Tomasz}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Tylenda, Tomasz %Y Weikum, Gerhard %A referee: Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Methods and Tools for Summarization of Entities and Facts in Knowledge Bases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-FC65-5 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P 113 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2015/6263/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
[67]
J. Vreeken, “Causal Inference by Direction of Information,” in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada, 2015.
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@inproceedings{vreeken:15:ergo, TITLE = {Causal Inference by Direction of Information}, AUTHOR = {Vreeken, Jilles}, LANGUAGE = {eng}, ISBN = {978-1-61197-401-0}, DOI = {10.1137/1.9781611974010.102}, PUBLISHER = {SIAM}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {Proceedings of the SIAM International Conference on Data Mining (SDM 2015)}, EDITOR = {Venkatasubramanian, Suresh and Ye, Jieping}, PAGES = {909--917}, ADDRESS = {Vancouver, Canada}, }
Endnote
%0 Conference Proceedings %A Vreeken, Jilles %+ Databases and Information Systems, MPI for Informatics, Max Planck Society %T Causal Inference by Direction of Information : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-A82C-D %R 10.1137/1.9781611974010.102 %D 2015 %B 15th SIAM International Conference on Data Mining %Z date of event: 2015-04-30 - 2015-05-02 %C Vancouver, Canada %B Proceedings of the SIAM International Conference on Data Mining %E Venkatasubramanian, Suresh; Ye, Jieping %P 909 - 917 %I SIAM %@ 978-1-61197-401-0
[68]
H. Wang, “Retrospective Summarization: What Did I Miss?,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{WangMaster2015, TITLE = {Retrospective Summarization: What Did I Miss?}, AUTHOR = {Wang, He}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Wang, He %Y Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Retrospective Summarization: What Did I Miss? : %U http://hdl.handle.net/11858/00-001M-0000-0026-A0B4-B %I Universität des Saarlandes %C Saarbrücken %D 2015 %P XVI, 73 p. %V master %9 master
[69]
M. A. Yosef, “U-AIDA: A Customizable System for Named Entity Recognition, Classification, and Disambiguation,” Universität des Saarlandes, Saarbrücken, 2015.
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@phdthesis{Yosefphd15, TITLE = {U-{AIDA}: A Customizable System for Named Entity Recognition, Classification, and Disambiguation}, AUTHOR = {Yosef, Mohamed Amir}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Yosef, Mohamed Amir %Y Weikum, Gerhard %A referee: Berberich, Klaus %+ Databases and Information Systems, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T U-AIDA: A Customizable System for Named Entity Recognition, Classification, and Disambiguation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-B9B9-C %I Universität des Saarlandes %C Saarbrücken %D 2015 %P XV, 101 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2016/6370/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
[70]
A. Zimek and J. Vreeken, “The Blind Men and the Elephant: On Meeting the Problem of Multiple Truths in Data from Clustering and Pattern Mining Perspectives,” Machine Learning, vol. 98, no. 1, 2015.
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@article{zimek:15:blind, TITLE = {The Blind Men and the Elephant: On Meeting the Problem of Multiple Truths in Data from Clustering and Pattern Mining Perspectives}, AUTHOR = {Zimek, Arthur and Vreeken, Jilles}, LANGUAGE = {eng}, ISSN = {0885-6125}, DOI = {10.1007/s10994-013-5334-y}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, JOURNAL = {Machine Learning}, VOLUME = {98}, NUMBER = {1}, PAGES = {121--155}, }
Endnote
%0 Journal Article %A Zimek, Arthur %A Vreeken, Jilles %+ External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T The Blind Men and the Elephant: On Meeting the Problem of Multiple Truths in Data from Clustering and Pattern Mining Perspectives : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-57AE-D %R 10.1007/s10994-013-5334-y %7 2013-03-07 %D 2015 %J Machine Learning %V 98 %N 1 %& 121 %P 121 - 155 %I Springer %C New York, NY %@ false
[71]
T. Zinchenko, “Redescription Mining Over non-Binary Data Sets Using Decision Trees,” Universität des Saarlandes, Saarbrücken, 2015.
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@mastersthesis{ZinchenkoMaster2014, TITLE = {Redescription Mining Over non-Binary Data Sets Using Decision Trees}, AUTHOR = {Zinchenko, Tetiana}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, }
Endnote
%0 Thesis %A Zinchenko, Tetiana %Y Miettinen, Pauli %A referee: Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Redescription Mining Over non-Binary Data Sets Using Decision Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-B73A-5 %I Universität des Saarlandes %C Saarbrücken %D 2015 %P X, 118 p. %V master %9 master
[72]
T. Zinchenko, E. Galbrun, and P. Miettinen, “Mining Predictive Redescriptions with Trees,” in 15th IEEE International Conference on Data Mining Workshop (ICDMW 2015), Atlantic City, NJ, USA, 2015.
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@inproceedings{zinchenko15mining, TITLE = {Mining Predictive Redescriptions with Trees}, AUTHOR = {Zinchenko, Tetiana and Galbrun, Esther and Miettinen, Pauli}, LANGUAGE = {eng}, ISBN = {978-1-4673-8492-6}, DOI = {10.1109/ICDMW.2015.123}, PUBLISHER = {IEEE}, YEAR = {2015}, MARGINALMARK = {$\bullet$}, DATE = {2015}, BOOKTITLE = {15th IEEE International Conference on Data Mining Workshop (ICDMW 2015)}, EDITOR = {Cui, Peng and Dy, Jennifer and Aggarwal, Charu and Zhou, Zhi-Hua and Tuzhilin, Alexander and Xiong, Hui and Wu, Xindong}, PAGES = {1672--1675}, ADDRESS = {Atlantic City, NJ, USA}, }
Endnote
%0 Conference Proceedings %A Zinchenko, Tetiana %A Galbrun, Esther %A Miettinen, Pauli %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T Mining Predictive Redescriptions with Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-5424-A %R 10.1109/ICDMW.2015.123 %D 2015 %B 15th International Conference on Data Mining %Z date of event: 2015-11-14 - 2015-11-17 %C Atlantic City, NJ, USA %B 15th IEEE International Conference on Data Mining Workshop %E Cui, Peng; Dy, Jennifer; Aggarwal, Charu; Zhou, Zhi-Hua; Tuzhilin, Alexander; Xiong, Hui; Wu, Xindong %P 1672 - 1675 %I IEEE %@ 978-1-4673-8492-6