Arturas Mazeika - researchr alias

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Viewing Publication 1 - 19 from 19

2011

2009

2008

The 3DVDM Approach: A Case Study with Clickstream DataMichael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 13-29, Springer, 2008. [doi]

Using Nested Surfaces for Visual Detection of Structures in DatabasesArturas Mazeika, Michael H. Böhlen, Peer Mylov. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 91-102, Springer, 2008. [doi]

Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary RelationsArturas Mazeika, Michael H. Böhlen, Daniel Trivellato. adbis 2008: 168-183 [doi]

Visual Data Mining: An Introduction and OverviewSimeon J. Simoff, Michael H. Böhlen, Arturas Mazeika. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 1-12, Springer, 2008. [doi]

Assisting Human Cognition in Visual Data MiningSimeon J. Simoff, Michael H. Böhlen, Arturas Mazeika. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 264-280, Springer, 2008. [doi]

Using 2D Hierarchical Heavy Hitters to Investigate Binary RelationshipsDaniel Trivellato, Arturas Mazeika, Michael H. Böhlen. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 215-235, Springer, 2008. [doi]

2007

Estimating the selectivity of approximate string queriesArturas Mazeika, Michael H. Böhlen, Nick Koudas, Divesh Srivastava. TODS, 32(2):12, 2007. [doi]

2006

2003

3D visual data mining - goals and experiencesMichael H. Böhlen, Linas Bukauskas, Poul Svante Eriksen, Steffen L. Lauritzen, Arturas Mazeika, Peter Musaeus, Peer Mylov. csda, 43(4):445-469, 2003. [doi]

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