Arturas Mazeika

20 papers A* 1A 2C 4Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2011 A conf
Entity timelines: visual analytics and named entity evolution.
CIKM
Arturas Mazeika, Tomasz Tylenda, Gerhard Weikum
2011 C conf
Querying Versioned Software Repositories.
ADBIS
Dietrich Christopeit, Michael H. Böhlen, Carl-Christian Kanne, Arturas Mazeika
2011 J jnl
The SHARC framework for data quality in Web archiving.
VLDB J.
Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum
2009 A conf
CORE: Nonparametric Clustering of Large Numeric Databases.
SDM
Andrej Taliun, Michael H. Böhlen, Arturas Mazeika
2009 — conf
Clustering of Short Strings in Large Databases.
DEXA Workshops
Michail Kazimianec, Arturas Mazeika
2009 — conf
Data quality in web archiving.
WICOW
Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerhard Weikum, Pierre Senellart
2009 J jnl
SHARC: Framework for Quality-Conscious Web Archiving.
Proc. VLDB Endow.
Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum
2008 C conf
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations.
ADBIS
Arturas Mazeika, Michael H. Böhlen, Daniel Trivellato
2008 — ch.
Assisting Human Cognition in Visual Data Mining.
Visual Data Mining
Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika
2008 — ch.
The 3DVDM Approach: A Case Study with Clickstream Data.
Visual Data Mining
Michael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov
2008 — ch.
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships.
Visual Data Mining
Daniel Trivellato, Arturas Mazeika, Michael H. Böhlen
2008 — ch.
Using Nested Surfaces for Visual Detection of Structures in Databases.
Visual Data Mining
Arturas Mazeika, Michael H. Böhlen, Peer Mylov
2008 — book
Visual Data Mining - Theory, Techniques and Tools for Visual Analytics
Visual Data Mining
Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika
2008 — ch.
Visual Data Mining: An Introduction and Overview.
Visual Data Mining
Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika
2007 J jnl
Estimating the selectivity of approximate string queries.
ACM Trans. Database Syst.
Arturas Mazeika, Michael H. Böhlen, Nick Koudas, Divesh Srivastava
2006 A* conf
Adaptive Density Estimation.
VLDB
Arturas Mazeika, Michael H. Böhlen, Andrej Taliun
2006 — conf
Cleansing Databases of Misspelled Proper Nouns.
CleanDB
Arturas Mazeika, Michael H. Böhlen
2006 C conf
Multi-dimensional Histograms with Tight Bounds for the Error.
IDEAS
Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen
2006 C conf
PPPA: Push and Pull Pedigree Analyzer for Large and Complex Pedigree Databases.
ADBIS
Arturas Mazeika, Janis Petersons, Michael H. Böhlen
2003 J jnl
3D visual data mining - goals and experiences.
Comput. Stat. Data Anal.
Michael H. Böhlen, Linas Bukauskas, Poul Svante Eriksen, Steffen L. Lauritzen, Arturas Mazeika, Peter Musaeus, Peer Mylov