Homepage
Arturas Mazeika
Max-Planck-Institut für Informatik
Department 5: Databases and Information
Systems
Building 46.1, Room 417
Campus E1 4
66123 Saarbrücken
Germany
Email:
Get my email address via email
Phone: +49 681 9325 517
Fax: +49 681 9325 599
- Consistency of crawls
- Density Estimation, Selectivity
- Clustering
- Visual Analytics
- Consistency of crawls
- Density Estimation, Selectivity
- Clustering
- Visual Analytics
- D. Denev, A. Mazeika, M. Spaniol, and G. Weikum.
The SHARC framework for data quality in web archiving.
In The VLDB Journal, 20(2):183--207, April 2011.
- A. Mazeika, D. Denev, M. Spaniol, and G. Weikum.
The SOLAR System for Sharp Web Archiving.
In Proceedings of the 10th International Web Archiving
Workshop (IWAW), Vienna, Austria, September 22 - 23, 2010., pages
24 -- 30, 2010.
- D. Denev, A. Mazeika, M. Spaniol, and G. Weikum.
SHARC: Framework for quality conscious web archiving.
Proceedings of the VLDB Endowment, 2(1):586--597, 2009.
- M.~Spaniol, A.~Mazeika, D.~Denev, and G.~Weikum.
``Catch me if you can'': Visual Analysis of Coherence Defects
in Web Archiving. In Proceedings of the 9th International
Web Archiving Workshop (IWAW), Corfu, Greece,
September 30 - October 1, 2009}, pages 27 -- 37, 2009.
- M. Spaniol, D. Denev, A. Mazeika, G. Weikum, and P. Senellart.
Data quality in web archiving.
In Katsumi Tanaka, Xiaofang Zhou, and Adam Jatowt, editors,
WICOW, pages 19--26. ACM, 2009.
- A. Taliun, M. H. Boehlen, and A. Mazeika.
Core: Nonparametric clustering of large numeric databases.
In SDM, pages 14--25. SIAM, 2009.
- S. J. Simoff, M. H. Boehlen, and A. Mazeika, editors.
In Visual Data Mining - Theory, Techniques and Tools for Visual
Analytics, volume 4404 of {\em Lecture Notes in Computer Science}.
Springer, 2008.
- A. Mazeika, M. H. Boehlen, N. Koudas, and D. Srivastava.
Estimating the selectivity of approximate string queries.
ACM Trans. Database Syst., 32(2):12, 2007.
- A. Mazeika, Michael H. Boehlen, and A. Taliun.
Adaptive density estimation.
In Proceedings of VLDB, pages 1191--1194. ACM, 2006.
- M. ~H. Boehlen, L. Bukauskas, P. ~S. Eriksen, S. ~L. Lauritzen,
A. Mazeika, P. Musaeus, and P. Mylov.
3D Visual Data Mining - Goals and Experiences.
In Computational Statistics and Data Analysis, 43(4):445--469,
2003.
