Arturas Mazeika

According to our database, Arturas Mazeika authored at least 19 papers between 2003 and 2011.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2011

The SHARC framework for data quality in Web archiving.

Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum

VLDB J., 2011

Entity timelines: visual analytics and named entity evolution.

Arturas Mazeika, Tomasz Tylenda, Gerhard Weikum

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Querying Versioned Software Repositories.

Dietrich Christopeit, Michael H. Böhlen, Carl-Christian Kanne, Arturas Mazeika

Proceedings of the Advances in Databases and Information Systems, 2011

2009

SHARC: Framework for Quality-Conscious Web Archiving.

Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum

Proc. VLDB Endow., 2009

Data quality in web archiving.

Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerhard Weikum, Pierre Senellart

Proceedings of the 3rd ACM Workshop on Information Credibility on the Web, 2009

CORE: Nonparametric Clustering of Large Numeric Databases.

Andrej Taliun, Michael H. Böhlen, Arturas Mazeika

Proceedings of the SIAM International Conference on Data Mining, 2009

Clustering of Short Strings in Large Databases.

Michail Kazimianec, Arturas Mazeika

Proceedings of the Database and Expert Systems Applications, 2009

2008

Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships.

Daniel Trivellato, Arturas Mazeika, Michael H. Böhlen

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Assisting Human Cognition in Visual Data Mining.

Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Visual Data Mining: An Introduction and Overview.

Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Using Nested Surfaces for Visual Detection of Structures in Databases.

Arturas Mazeika, Michael H. Böhlen, Peer Mylov

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

The 3DVDM Approach: A Case Study with Clickstream Data.

Michael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations.

Arturas Mazeika, Michael H. Böhlen, Daniel Trivellato

Proceedings of the Advances in Databases and Information Systems, 2008

2007

Estimating the selectivity of approximate string queries.

Arturas Mazeika, Michael H. Böhlen, Nick Koudas, Divesh Srivastava

ACM Trans. Database Syst., 2007

2006

Adaptive Density Estimation.

Arturas Mazeika, Michael H. Böhlen, Andrej Taliun

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Multi-dimensional Histograms with Tight Bounds for the Error.

Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen

Proceedings of the Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 2006

Cleansing Databases of Misspelled Proper Nouns.

Arturas Mazeika, Michael H. Böhlen

Proceedings of the First Int'l VLDB Workshop on Clean Databases, 2006

PPPA: Push and Pull Pedigree Analyzer for Large and Complex Pedigree Databases.

Arturas Mazeika, Janis Petersons, Michael H. Böhlen

Proceedings of the Advances in Databases and Information Systems, 2006

2003

3D visual data mining - goals and experiences.

Michael H. Böhlen, Linas Bukauskas, Poul Svante Eriksen, Steffen L. Lauritzen, Arturas Mazeika, Peter Musaeus, Peer Mylov

Comput. Stat. Data Anal., 2003