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[ Dr. Elke Achtert | Research | Teaching | Publications]



List of Publications

2010
24. E. Achtert, H.-P. Kriegel, L. Reichert, E. Schubert, R. Wojdanowski, and A. Zimek:
Visual Evaluation of Outlier Detection Models.
In Proceedings of the 15th International Conference on Database Systems for Advanced Applications (DASFAA), Tsukuba, Japan, 2010.
[ELKI]
2009
23. E. Achtert, H.-P. Kriegel, P. Kröger, M. Renz, and A. Züfle:
Reverse k-nearest neighbor search in dynamic and general metric databases.
In Proceedings of the 12th International Conference on Extending Database Technology (EDBT), Saint-Petersburg, Russia, 2009.
[EE (ACM) | pdf]
22. E. Achtert, T. Bernecker, H.-P. Kriegel, E. Schubert, and A. Zimek:
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series.
In Proceedings of the 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark, 2009.
[EE (SpringerLink) | pdf | poster | ELKI]
2008
21. E. Achtert, H.-P. Kriegel, and A. Zimek:
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms.
In Proceedings of the 20th International Conference on Scientific and Statistical Database Management (SSDBM), Hong Kong, China, 2008.
[EE (SpringerLink) | pdf | ELKI]
20. E. Achtert, C. Böhm, J. David, P. Kröger, and A. Zimek:
Global Correlation Clustering Based on the Hough Transform.
Statistical Analysis and Data Mining, 1(3): 111-127, 2008.
[EE (Wiley InterScience) | code]
19. E. Achtert, C. Böhm, J. David, P. Kröger, and A. Zimek:
Robust Clustering in Arbitrarily Oriented Subspaces.
Best Paper Honorable Mention Award.
In Proceedings of the 8th SIAM International Conference on Data Mining (SDM), Atlanta, GA, 2008.
[pdf | award | code]
2007
18. E. Achtert, C. Böhm, P. Kröger, P. Kunath, A. Pryakhin, and M. Renz:
Efficient Reverse k-Nearest Neighbor Estimation (extended version).
Informatik - Forschung und Entwicklung, 21(3-4): 179-195, 2007.
[EE (SpringerLink) | code]
17. E. Achtert, C. Böhm, P. Kröger, P. Kunath, A. Pryakhin, and M. Renz:
Efficient Reverse k-Nearest Neighbor Estimation.
In Proceedings of the 12th GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), Aachen, Germany, 2007.
[pdf | code]
16. E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, and A. Zimek:
On Exploring Complex Relationships of Correlation Clusters.
In Proceedings of the 19th International Conference on Scientific and Statistical Database Management (SSDBM), Banff, Canada, 2007.
[EE (IEEE Xplore) | pdf | code]
15. E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, I. Müller-Gorman, and A. Zimek:
Detection and Visualization of Subspace Cluster Hierarchies.
In Proceedings of the 12th International Conference on Database Systems for Advanced Applications (DASFAA), Bangkok, Thailand, 2007.
[EE (SpringerLink) | pdf | code]
14. E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, and A. Zimek:
Robust, Complete, and Efficient Correlation Clustering.
In Proceedings of the 7th SIAM International Conference on Data Mining (SDM), Minneapolis, MN, 2007.
[pdf | poster | code]
13. E. Achtert:
Hierarchical Subspace Clustering.
PhD Thesis, Ludwig-Maximilians-University, Munich, Germany, 2007.
[pdf]
2006
12. E. Achtert and D. Schwald:
FIS-by-Step: Visualization of the Fast Index Scan for Nearest Neighbor Queries.
In Proceedings of the 10th International Conference on Extending Database Technology (EDBT), Munich, Germany, 2006.
[pdf | poster]
11. E. Achtert, H.-P. Kriegel, A. Pryakhin, and M. Schubert:
Clustering Multi-Represented Objects Using Combination Trees.
In Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, 2006.
[EE (SpringerLink) | pdf]
10. E. Achtert, C. Böhm, P. Kröger, and A. Zimek:
Mining Hierarchies of Correlation Clusters.
In Proceedings of the 18th International Conference on Scientific and Statistical Database Management (SSDBM), Vienna, Austria, 2006.
[EE (IEEE Xplore) | pdf | code]
9. E. Achtert, C. Böhm, P. Kröger, P. Kunath, A. Pryakhin, and M. Renz:
Approximate Reverse k-Nearest Neighbor Queries in General Metric Spaces.
In Proceedings of the 15th ACM Conference on Information and Knowledge Management (CIKM), Arlington, VA, 2006.
[EE (ACM) | pdf | code]
8. E. Achtert, C. Böhm, P. Kröger, P. Kunath, A. Pryakhin, and M. Renz:
Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces.
In Proceedings of the ACM International Conference on Management of Data (SIGMOD), Chicago, IL, 2006.
[EE (ACM) | pdf | code]
7. E. Achtert, C. Böhm, and P. Kröger:
DeLiClu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking.
In Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, 2006.
[pdf | code]
6. E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, and A. Zimek:
Deriving Quantitative Models for Correlation Clusters.
In Proceedings of the 12th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), Philadelphia, PA, 2006.
[EE (ACM) | pdf | code]
5. E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, I. Müller-Gorman, and A. Zimek:
Finding Hierarchies of Subspace Clusters.
In Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, 2006.
[pdf | poster | code]
4. E. Achtert, C. Böhm, S. Brecheisen, H.-P. Kriegel, P. Kunath, A. Pryakhin, M. Renz, and M. Schubert:
Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken.
Datenbank-Spektrum, 6(19): 32-39, 2006.
[EE (Datenbankspektrum)]
2005
3. E. Achtert, H.-P. Kriegel, A. Pryakhin, and M. Schubert:
Hierarchical Density-Based Clustering for Multi-Represented Objects.
In Workshop on Mining Complex Data (MCD) on the 5th IEEE International Conference on Data Mining (ICDM), Houston, TX, 2005.
[pdf]
2. E. Achtert, C. Böhm, H.-P. Kriegel, and P. Kröger:
Online Hierarchical Clustering in a Data Warehouse Environment.
In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM), Houston, TX, 2005.
[EE (IEEE Xplore) | pdf]
2004
1. E. Achtert:
Inkrementelles hierarchisches Clustering.
Diploma Thesis, Ludwig-Maximilians-University, Munich, Germany, 2004.
[pdf]


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