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ORCIDMichael H. Böhlen
- > Home > Persons > Michael H. Böhlen
Publications
- 2011
[c63]Dietrich Christopeit, Michael H. Böhlen
, Carl-Christian Kanne, Arturas Mazeika:
Querying Versioned Software Repositories. ADBIS 2011: 42-55- 2009
- [c53]Andrej Taliun, Michael H. Böhlen, Arturas Mazeika:
CORE: Nonparametric Clustering of Large Numeric Databases. SDM 2009: 14-25 - 2008
- [c52]Arturas Mazeika, Michael H. Böhlen, Daniel Trivellato:
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations. ADBIS 2008: 168-183 - [p6]Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika:
Visual Data Mining: An Introduction and Overview. Visual Data Mining 2008: 1-12 - [p5]Michael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov:
The 3DVDM Approach: A Case Study with Clickstream Data. Visual Data Mining 2008: 13-29 - [p4]Arturas Mazeika, Michael H. Böhlen, Peer Mylov:
Using Nested Surfaces for Visual Detection of Structures in Databases. Visual Data Mining 2008: 91-102 - [p3]Daniel Trivellato, Arturas Mazeika, Michael H. Böhlen:
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships. Visual Data Mining 2008: 215-235 - [p2]Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika:
Assisting Human Cognition in Visual Data Mining. Visual Data Mining 2008: 264-280 - [e3]Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika:
Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Lecture Notes in Computer Science 4404, Springer 2008, ISBN 978-3-540-71079-0 [contents] - 2007
- [j10]Arturas Mazeika, Michael H. Böhlen, Nick Koudas, Divesh Srivastava:
Estimating the selectivity of approximate string queries. ACM Trans. Database Syst. 32(2): 12 (2007) - 2006
- [c44]Arturas Mazeika, Janis Petersons, Michael H. Böhlen:
PPPA: Push and Pull Pedigree Analyzer for Large and Complex Pedigree Databases. ADBIS 2006: 339-352 - [c43]Arturas Mazeika, Michael H. Böhlen:
Cleansing Databases of Misspelled Proper Nouns. CleanDB 2006 - [c39]Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen:
Multi-dimensional Histograms with Tight Bounds for the Error. IDEAS 2006: 105-112 - [c35]Arturas Mazeika, Michael H. Böhlen, Andrej Taliun:
Adaptive Density Estimation. VLDB 2006: 1191-1194 - 2003
- [j8]Michael H. Böhlen, Linas Bukauskas, Poul Svante Eriksen, Steffen L. Lauritzen, Arturas Mazeika, Peter Musaeus, Peer Mylov:
3D visual data mining - goals and experiences. Comput. Stat. Data Anal. 43(4): 445-469 (2003)
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