| 1 |
Computing Clusters of Correlation Connected Objects. Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek. SIGMOD Conference 2004, 455-466. Cited by 61Web SearchBibTeXDownload |
| 2 |
Future trends in data mining. Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek. Data Min. Knowl. Discov. (15): 87-97 (2007). Cited by 22Web SearchBibTeXDownload |
| 3 |
Deriving quantitative models for correlation clusters. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. KDD 2006, 4-13. Cited by 17Web SearchBibTeXDownload |
| 4 |
Robust, Complete, and Efficient Correlation Clustering. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. SDM 2007. Cited by 14Web SearchBibTeXDownload |
| 5 |
Detection and Visualization of Subspace Cluster Hierarchies. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek. DASFAA 2007, 152-163. Cited by 13Web SearchBibTeXDownload |
| 6 |
Mining Hierarchies of Correlation Clusters. Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek. SSDBM 2006, 119-128. Cited by 10Web SearchBibTeXDownload |
| 7 |
Finding Hierarchies of Subspace Clusters. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek. PKDD 2006, 446-453. Cited by 9Web SearchBibTeXDownload |
| 8 |
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. TKDD (3) (2009). Cited by 8Web SearchBibTeXDownload |
| 9 |
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms. Elke Achtert, Hans-Peter Kriegel, Arthur Zimek. SSDBM 2008, 580-585. Cited by 7Web SearchBibTeXDownload |
| 10 |
Robust Clustering in Arbitrarily Oriented Subspaces. Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek. SDM 2008, 763-774. Cited by 5Web SearchBibTeXDownload |
| 11 |
Angle-based outlier detection in high-dimensional data. Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek. KDD 2008, 444-452. Cited by 4Web SearchBibTeXDownload |
| 12 |
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. SSDBM 2008, 418-435. Cited by 4Web SearchBibTeXDownload |
| 13 |
Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering. Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. PVLDB (1): 1528-1529 (2008). Cited by 2Web SearchBibTeXDownload |
| 14 |
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series. Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek. SSTD 2009, 436-440. Cited by 2Web SearchBibTeXDownload |
| 15 |
Global Correlation Clustering Based on the Hough Transform. Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek. Statistical Analysis and Data Mining (1): 111-127 (2008). Cited by 1Web SearchBibTeXDownload |
| 16 |
Supervised Ensembles of Prediction Methods for Subcellular Localization. Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek. APBC 2008, 29-38. Web SearchBibTeXDownload |
| 17 |
LoOP: local outlier probabilities. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. CIKM 2009, 1649-1652. Web SearchBibTeXDownload |
| 18 |
Visual Evaluation of Outlier Detection Models. Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, Arthur Zimek. DASFAA (2) 2010, 396-399. Web SearchBibTeXDownload |
| 19 |
Similarity Search in Time Series of Dynamical Model-based Systems. Kyoji Kawagoe, Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Arthur Zimek, Andreas Züfle. DEXA Workshops 2010, 110-114. Web SearchBibTeXDownload |
| 20 |
Subspace Clustering Techniques. Peer Kröger, Arthur Zimek. Encyclopedia of Database Systems 2009, 2873-2875. Web SearchBibTeXDownload |
| 21 |
Subspace similarity search using the ideas of ranking and top-k retrieval. Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek. ICDE Workshops 2010, 4-9. Web SearchBibTeXDownload |
| 22 |
COSMIC: Conceptually Specified Multi-Instance Clusters. Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek. ICDM 2006, 917-921. Web SearchBibTeXDownload |
| 23 |
A Study of Hierarchical and Flat Classification of Proteins. Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer. IEEE/ACM Trans. Comput. Biology Bioinform. (7): 563-571 (2010). Web SearchBibTeXDownload |
| 24 |
Supervised Ensembles of Prediction Methods for Subcellular Localization. Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek. J. Bioinformatics and Computational Biology (7): 269-285 (2009). Web SearchBibTeXDownload |
| 25 |
Investigating a Correlation between Subcellular Localization and Fold of Proteins. Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek. J. UCS (16): 604-621 (2010). Web SearchBibTeXDownload |
| 26 |
Subspace and projected clustering: experimental evaluation and analysis. Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander. Knowl. Inf. Syst. (21): 299-326 (2009). Web SearchBibTeXDownload |
| 27 |
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. PAKDD 2009, 831-838. Web SearchBibTeXDownload |
| 28 |
Interpreting and Unifying Outlier Scores. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. SDM 2011, 13-24. Web SearchBibTeXDownload |
| 29 |
Correlation clustering. Arthur Zimek. SIGKDD Explorations (11): 53-54 (2009). Web SearchBibTeXDownload |
| 30 |
Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek. SSDBM 2010, 555-564. Web SearchBibTeXDownload |
| 31 |
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?. Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. SSDBM 2010, 482-500. Web SearchBibTeXDownload |
| 32 |
On Exploring Complex Relationships of Correlation Clusters. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. SSDBM 2007, 7. Web SearchBibTeXDownload |
| 33 |
Density Based Subspace Clustering over Dynamic Data. Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek. SSDBM 2011, 387-404. Web SearchBibTeXDownload |
| 34 |
Spatial Outlier Detection: Data, Algorithms, Visualizations. Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek. SSTD 2011, 512-516. Web SearchBibTeXDownload |
| 35 |
Quality of Similarity Rankings in Time Series. Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek. SSTD 2011, 422-440. Web SearchBibTeXDownload |
| 36 |
Density-based clustering. Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery (1): 231-240 (2011). Web SearchBibTeXDownload |
