| 2011 |
|---|
| 19 | Querying Versioned Software Repositories. Dietrich Christopeit, Michael H. Böhlen, Carl-Christian Kanne, Arturas Mazeika. ADBIS 2011, 42-55. Web SearchBibTeXDownload |
| 18 | Entity timelines: visual analytics and named entity evolution. Arturas Mazeika, Tomasz Tylenda, Gerhard Weikum. CIKM 2011, 2585-2588. Web SearchBibTeXDownload |
| 17 | The SHARC framework for data quality in Web archiving. Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum. VLDB J. (20): 183-207 (2011). Web SearchBibTeXDownload |
| 2009 |
|---|
| 16 | Clustering of Short Strings in Large Databases. Michail Kazimianec, Arturas Mazeika. DEXA Workshops 2009, 368-372. Web SearchBibTeXDownload |
| 15 | SHARC: Framework for Quality-Conscious Web Archiving. Dimitar Denev, Arturas Mazeika, Marc Spaniol, Gerhard Weikum. PVLDB (2): 586-597 (2009). Web SearchBibTeXDownload |
| 14 | CORE: Nonparametric Clustering of Large Numeric Databases. Andrej Taliun, Michael H. Böhlen, Arturas Mazeika. SDM 2009, 14-25. Web SearchBibTeXDownload |
| 13 | Data quality in web archiving. Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerhard Weikum, Pierre Senellart. WICOW 2009, 19-26. Cited by 3Web SearchBibTeXDownload |
| 2008 |
|---|
| 12 | Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations. Arturas Mazeika, Michael H. Böhlen, Daniel Trivellato. ADBIS 2008, 168-183. Web SearchBibTeXDownload |
| 11 | Visual Data Mining: An Introduction and Overview. Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika. Visual Data Mining 2008, 1-12. Web SearchBibTeXDownload |
| 10 | The 3DVDM Approach: A Case Study with Clickstream Data. Michael H. Böhlen, Linas Bukauskas, Arturas Mazeika, Peer Mylov. Visual Data Mining 2008, 13-29. Web SearchBibTeXDownload |
| 9 | Using Nested Surfaces for Visual Detection of Structures in Databases. Arturas Mazeika, Michael H. Böhlen, Peer Mylov. Visual Data Mining 2008, 91-102. Web SearchBibTeXDownload |
| 8 | Assisting Human Cognition in Visual Data Mining. Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika. Visual Data Mining 2008, 264-280. Web SearchBibTeXDownload |
| 7 | Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships. Daniel Trivellato, Arturas Mazeika, Michael H. Böhlen. Visual Data Mining 2008, 215-235. Web SearchBibTeXDownload |
| 2007 |
|---|
| 6 | Estimating the selectivity of approximate string queries. Arturas Mazeika, Michael H. Böhlen, Nick Koudas, Divesh Srivastava. ACM Trans. Database Syst. (32): 12 (2007). Cited by 11Web SearchBibTeXDownload |
| 2006 |
|---|
| 5 | PPPA: Push and Pull Pedigree Analyzer for Large and Complex Pedigree Databases. Arturas Mazeika, Janis Petersons, Michael H. Böhlen. ADBIS 2006, 339-352. Web SearchBibTeXDownload |
| 4 | Cleansing Databases of Misspelled Proper Nouns. Arturas Mazeika, Michael H. Böhlen. CleanDB 2006. Web SearchBibTeXDownload |
| 3 | Multi-dimensional Histograms with Tight Bounds for the Error. Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen. IDEAS 2006, 105-112. Web SearchBibTeXDownload |
| 2 | Adaptive Density Estimation. Arturas Mazeika, Michael H. Böhlen, Andrej Taliun. VLDB 2006, 1191-1194. Web SearchBibTeXDownload |
| 2003 |
|---|
| 1 | 3D visual data mining - goals and experiences. Michael H. Böhlen, Linas Bukauskas, Poul Svante Eriksen, Steffen L. Lauritzen, Arturas Mazeika, Peter Musaeus, Peer Mylov. Computational Statistics & Data Analysis (43): 445-469 (2003). Web SearchBibTeXDownload |
