2013
91A Mutual Pruning Approach for RkNN Join Processing. Tobias Emrich, Peer Kröger, Johannes Niedermayer, Matthias Renz, Andreas Züfle. BTW 2013, 21-35. Web SearchBibTeXDownload
2012
90Outlier Detection in Arbitrarily Oriented Subspaces. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. ICDM 2012, 379-388. Web SearchBibTeXDownload
89Density-based Projected Clustering over High Dimensional Data Streams. Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel. SDM 2012, 987-998. Web SearchBibTeXDownload
88Highlights from QuEST 2011: 2nd SIGSPATIAL ACM GIS 2011 International Workshop on Querying and Mining Uncertain Spatio-Temporal Data: (Chicago, IL - November 1, 2011). Peer Kröger, Matthias Renz. SIGSPATIAL Special (4): 14-15 (2012). Web SearchBibTeXDownload
87Subspace clustering. Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery (2): 351-364 (2012). Web SearchBibTeXDownload
2011
86Interpreting and Unifying Outlier Scores. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. SDM 2011, 13-24. Web SearchBibTeXDownload
85Density Based Subspace Clustering over Dynamic Data. Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek. SSDBM 2011, 387-404. Web SearchBibTeXDownload
84Quality 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
83Continuous Probabilistic Count Queries in Wireless Sensor Networks. Anna Follmann, Mario A. Nascimento, Andreas Züfle, Matthias Renz, Peer Kröger, Hans-Peter Kriegel. SSTD 2011, 279-296. Web SearchBibTeXDownload
82A Visual Evaluation Framework for Spatial Pruning Methods. Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Johannes Senner, Andreas Züfle. SSTD 2011, 507-511. Web SearchBibTeXDownload
81TiP: Analyzing Periodic Time Series Patterns. Thomas Bernecker, Hans-Peter Kriegel, Peer Kröger, Matthias Renz. SSTD 2011, 491-495. Web SearchBibTeXDownload
80Density-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
2010
79Exploiting local node cache in top-k queries within wireless sensor networks. Johannes Niedermayer, Mario A. Nascimento, Matthias Renz, Peer Kröger, Hans-Peter Kriegel. GIS 2010, 434-437. Web SearchBibTeXDownload
78Reverse k-Nearest Neighbor monitoring on mobile objects. Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Naixin Xu, Andreas Züfle. GIS 2010, 494-497. Web SearchBibTeXDownload
77Techniques for efficiently searching in spatial, temporal, spatio-temporal, and multimedia databases. Hans-Peter Kriegel, Peer Kröger, Matthias Renz. ICDE 2010, 1218-1219. Web SearchBibTeXDownload
76Subspace 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
75Boosting spatial pruning: on optimal pruning of MBRs. Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle. SIGMOD Conference 2010, 39-50. Web SearchBibTeXDownload
74Metric spaces in data mining: applications to clustering. Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Matthias Schubert. SIGSPATIAL Special (2): 36-39 (2010). Web SearchBibTeXDownload
73QUeST 2009 Workshop Report: The 1st International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (Seattle, Washington - November 3, 2009). Peer Kröger, Matthias Renz. SIGSPATIAL Special (2): 12-13 (2010). Web SearchBibTeXDownload
72Can 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
71Towards Archaeo-informatics: Scientific Data Management for Archaeobiology. Hans-Peter Kriegel, Peer Kröger, Christiaan Hendrikus van der Meijden, Henriette Obermaier, Joris Peters, Matthias Renz. SSDBM 2010, 169-177. Web SearchBibTeXDownload
70Subspace 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
2009
69OSSOBOOK: database and knowledgemanagement techniques for archaeozoology. Hans-Peter Kriegel, Peer Kröger, Henriette Obermaier, Joris Peters, Matthias Renz, Christiaan Hendrikus van der Meijden. CIKM 2009, 2091-2092. Web SearchBibTeXDownload
68LoOP: local outlier probabilities. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. CIKM 2009, 1649-1652. Web SearchBibTeXDownload
67Techniques for Efficiently Searching in Spatial, Temporal, Spatio-temporal, and Multimedia Databases. Hans-Peter Kriegel, Peer Kröger, Matthias Renz. DASFAA 2009, 780-783. Web SearchBibTeXDownload
66Periodic Pattern Analysis in Time Series Databases. Johannes Aßfalg, Thomas Bernecker, Hans-Peter Kriegel, Peer Kröger, Matthias Renz. DASFAA 2009, 354-368. Web SearchBibTeXDownload
65Reverse k-nearest neighbor search in dynamic and general metric databases. Elke Achtert, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle. EDBT 2009, 886-897. Cited by 3Web SearchBibTeXDownload
64Subspace Clustering Techniques. Peer Kröger, Arthur Zimek. Encyclopedia of Database Systems 2009, 2873-2875. Web SearchBibTeXDownload
63Multi-Step Query Processing. Peer Kröger, Matthias Renz. Encyclopedia of Database Systems 2009, 1858-1862. Web SearchBibTeXDownload
62Constrained reverse nearest neighbor search on mobile objects. Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle. GIS 2009, 197-206. Web SearchBibTeXDownload
61Incremental Reverse Nearest Neighbor Ranking. Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle, Alexander Katzdobler. ICDE 2009, 1560-1567. Web SearchBibTeXDownload
60Subspace 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
59Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek. PAKDD 2009, 831-838. Web SearchBibTeXDownload
58Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods. Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle, Alexander Katzdobler. SSDBM 2009, 444-460. Cited by 1Web SearchBibTeXDownload
57Probabilistic Similarity Search for Uncertain Time Series. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Matthias Renz. SSDBM 2009, 435-443. Web SearchBibTeXDownload
56Incremental Reverse Nearest Neighbor Ranking in Vector Spaces. Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle. SSTD 2009, 265-282. Cited by 1Web SearchBibTeXDownload
55Clustering 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
2008
54Approximate Clustering of Time Series Using Compact Model-Based Descriptions. Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Renz, Andrew Zherdin. DASFAA 2008, 364-379. Cited by 1Web SearchBibTeXDownload
53Analysis of Time Series Using Compact Model-Based Descriptions. Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Renz. DASFAA 2008, 698-701. Web SearchBibTeXDownload
52Continuous proximity monitoring in road networks. Hans-Peter Kriegel, Peer Kröger, Matthias Renz. GIS 2008, 12. Web SearchBibTeXDownload
51T-Time: Threshold-Based Data Mining on Time Series. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. ICDE 2008, 1620-1623. Cited by 4Web SearchBibTeXDownload
50Efficient Query Processing in Large Traffic Networks. Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz, Tim Schmidt. ICDE 2008, 1451-1453. Web SearchBibTeXDownload
49Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. MMM 2008, 123-133. Cited by 1Web SearchBibTeXDownload
48Detecting 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
47Robust Clustering in Arbitrarily Oriented Subspaces. Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek. SDM 2008, 763-774. Cited by 5Web SearchBibTeXDownload
46A 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
45Hierarchical Graph Embedding for Efficient Query Processing in Very Large Traffic Networks. Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Tim Schmidt. SSDBM 2008, 150-167. Cited by 5Web SearchBibTeXDownload
44Global 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
2007
43Efficient Reverse k-Nearest Neighbor Estimation. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. BTW 2007, 344-363. Cited by 5Web SearchBibTeXDownload
42Detection 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
41Interval-Focused Similarity Search in Time Series Databases. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. DASFAA 2007, 586-597. Cited by 1Web SearchBibTeXDownload
40Future 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
39Proximity queries in large traffic networks. Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz, Tim Schmidt. GIS 2007, 21. Cited by 1Web SearchBibTeXDownload
38Efficient reverse k-nearest neighbor estimation. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. Inform., Forsch. Entwickl. (21): 179-195 (2007). Web SearchBibTeXDownload
37Robust, Complete, and Efficient Correlation Clustering. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. SDM 2007. Cited by 14Web SearchBibTeXDownload
36On Exploring Complex Relationships of Correlation Clusters. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. SSDBM 2007, 7. Web SearchBibTeXDownload
35Generalizing the Optimality of Multi-step k -Nearest Neighbor Query Processing. Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz. SSTD 2007, 75-92. Cited by 2Web SearchBibTeXDownload
2006
34Semi-Supervised Threshold Queries on Pharmacogenomics Time Sequences. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. APBC 2006, 307-316. Cited by 2Web SearchBibTeXDownload
33Approximate reverse k-nearest neighbor queries in general metric spaces. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. CIKM 2006, 788-789. Cited by 5Web SearchBibTeXDownload
32Similarity Search on Time Series Based on Threshold Queries. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. EDBT 2006, 276-294. Cited by 8Web SearchBibTeXDownload
31TQuEST: Threshold Query Execution for Large Sets of Time Series. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. EDBT 2006, 1147-1150. Cited by 1Web SearchBibTeXDownload
30Threshold Similarity Queries in Large Time Series Databases. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. ICDE 2006, 149. Cited by 4Web SearchBibTeXDownload
29Deriving quantitative models for correlation clusters. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek. KDD 2006, 4-13. Cited by 17Web SearchBibTeXDownload
28Effective similarity search in multimedia databases using multiple representations. Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin. MMM 2006. Cited by 3Web SearchBibTeXDownload
27DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking. Elke Achtert, Christian Böhm, Peer Kröger. PAKDD 2006, 119-128. Web SearchBibTeXDownload
26Finding 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
25Efficient reverse k-nearest neighbor search in arbitrary metric spaces. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. SIGMOD Conference 2006, 515-526. Cited by 39Web SearchBibTeXDownload
24Time Series Analysis Using the Concept of Adaptable Threshold Similarity. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. SSDBM 2006, 251-260. Cited by 3Web SearchBibTeXDownload
23Mining Hierarchies of Correlation Clusters. Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek. SSDBM 2006, 119-128. Cited by 10Web SearchBibTeXDownload
22Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations. Hans-Peter Kriegel, Peer Kröger, Matthias Schubert, Ziyue Zhu. SSDBM 2006, 184-190. Cited by 1Web SearchBibTeXDownload
2005
21Effective and Efficient Distributed Model-Based Clustering. Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert. ICDM 2005, 258-265. Cited by 14Web SearchBibTeXDownload
20Online Hierarchical Clustering in a Data Warehouse Environment. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger. ICDM 2005, 10-17. Cited by 5Web SearchBibTeXDownload
19A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data. Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Sebastian H. R. Wurst. ICDM 2005, 250-257. Cited by 26Web SearchBibTeXDownload
18Accurate and Efficient Similarity Search on 3D Objects Using Point Sampling, Redundancy, and Proportionality. Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Marco Pötke. SSTD 2005, 200-217. Cited by 3Web SearchBibTeXDownload
17Selectivity Estimation of High Dimensional Window Queries via Clustering. Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Petra Linhart. SSTD 2005, 1-18. Web SearchBibTeXDownload
2004
16Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen. Christian Böhm, Karin Kailing, Peer Kröger, Hans-Peter Kriegel. Datenbank-Spektrum (9): 11-17 (2004). Web SearchBibTeX
15BOSS: Browsing OPTICS-Plots for Similarity Search. Stefan Brecheisen, Hans-Peter Kriegel, Peer Kröger, Martin Pfeifle, Maximilian Viermetz, Marco Pötke. ICDE 2004, 858. Cited by 5Web SearchBibTeXDownload
14Subspace Selection for Clustering High-Dimensional Data. Christian Baumgartner, Claudia Plant, Karin Kailing, Hans-Peter Kriegel, Peer Kröger. ICDM 2004, 11-18. Cited by 26Web SearchBibTeXDownload
13Density Connected Clustering with Local Subspace Preferences. Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger. ICDM 2004, 27-34. Cited by 27Web SearchBibTeXDownload
12Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert. SDM 2004. Cited by 17Web SearchBibTeXDownload
11Density-Connected Subspace Clustering for High-Dimensional Data. Peer Kröger, Hans-Peter Kriegel, Karin Kailing. SDM 2004. Cited by 72Web SearchBibTeXDownload
10Visually Mining through Cluster Hierarchies. Stefan Brecheisen, Hans-Peter Kriegel, Peer Kröger, Martin Pfeifle. SDM 2004. Cited by 22Web SearchBibTeXDownload
9Computing Clusters of Correlation Connected Objects. Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek. SIGMOD Conference 2004, 455-466. Cited by 61Web SearchBibTeXDownload
2003
8Bioinformatics Databases: State of the Art and Research Perspectives. François Bry, Peer Kröger. ADBIS 2003, 3. Web SearchBibTeXDownload
7Effective Similarity Search on Voxelized CAD Object. Hans-Peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl. DASFAA 2003, 27-36. Cited by 35Web SearchBibTeXDownload
6Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering. Hans-Peter Kriegel, Peer Kröger, Irina Gotlibovich. DaWaK 2003, 224-233. Cited by 17Web SearchBibTeXDownload
5A Computational Biology Database Digest: Data, Data Analysis, and Data Management. François Bry, Peer Kröger. Distributed and Parallel Databases (13): 7-42 (2003). Web SearchBibTeXDownload
4Ranking Interesting Subspaces for Clustering High Dimensional Data. Karin Kailing, Hans-Peter Kriegel, Peer Kröger, Stefanie Wanka. PKDD 2003, 241-252. Cited by 25Web SearchBibTeXDownload
3Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects. Hans-Peter Kriegel, Stefan Brecheisen, Peer Kröger, Martin Pfeifle, Matthias Schubert. SIGMOD Conference 2003, 587-598. Cited by 54Web SearchBibTeXDownload
2002
2Datenbanken in der Bioinformatik. François Bry, Peer Kröger. Informatik Spektrum (25): 359-362 (2002). Web SearchBibTeXDownload
2001
1Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. Markus M. Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander. SIGMOD Conference 2001, 79-90. Cited by 64Web SearchBibTeXDownload
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