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Peer Kröger

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2009
59EEJohannes Aßfalg, Thomas Bernecker, Hans-Peter Kriegel, Peer Kröger, Matthias Renz: Periodic Pattern Analysis in Time Series Databases. DASFAA 2009: 354-368
58EEHans-Peter Kriegel, Peer Kröger, Matthias Renz: Techniques for Efficiently Searching in Spatial, Temporal, Spatio-temporal, and Multimedia Databases. DASFAA 2009: 780-783
57EEElke Achtert, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle: Reverse k-nearest neighbor search in dynamic and general metric databases. EDBT 2009: 886-897
56EEHans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle, Alexander Katzdobler: Incremental Reverse Nearest Neighbor Ranking. ICDE 2009: 1560-1567
55EEHans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek: Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. PAKDD 2009: 831-838
54EEHans-Peter Kriegel, Peer Kröger, Arthur Zimek: Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. TKDD 3(1): (2009)
2008
53EEHans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Renz, Andrew Zherdin: Approximate Clustering of Time Series Using Compact Model-Based Descriptions. DASFAA 2008: 364-379
52EEHans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Renz: Analysis of Time Series Using Compact Model-Based Descriptions. DASFAA 2008: 698-701
51EEHans-Peter Kriegel, Peer Kröger, Matthias Renz: Continuous proximity monitoring in road networks. GIS 2008: 12
50EEHans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz, Tim Schmidt: Efficient Query Processing in Large Traffic Networks. ICDE 2008: 1451-1453
49EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: T-Time: Threshold-Based Data Mining on Time Series. ICDE 2008: 1620-1623
48EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features. MMM 2008: 123-133
47EEElke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek: Robust Clustering in Arbitrarily Oriented Subspaces. SDM 2008: 763-774
46EEHans-Peter Kriegel, Peer Kröger, Matthias Renz, Tim Schmidt: Hierarchical Graph Embedding for Efficient Query Processing in Very Large Traffic Networks. SSDBM 2008: 150-167
45EEHans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek: A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. SSDBM 2008: 418-435
44EEHans-Peter Kriegel, Peer Kröger, Arthur Zimek: Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering. PVLDB 1(2): 1528-1529 (2008)
2007
43EEElke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Efficient Reverse k-Nearest Neighbor Estimation. BTW 2007: 344-363
42EEElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek: Detection and Visualization of Subspace Cluster Hierarchies. DASFAA 2007: 152-163
41EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Interval-Focused Similarity Search in Time Series Databases. DASFAA 2007: 586-597
40EEHans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz, Tim Schmidt: Proximity queries in large traffic networks. GIS 2007: 21
39EEElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek: Robust, Complete, and Efficient Correlation Clustering. SDM 2007
38EEElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek: On Exploring Complex Relationships of Correlation Clusters. SSDBM 2007: 7
37EEHans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz: Generalizing the Optimality of Multi-step k -Nearest Neighbor Query Processing. SSTD 2007: 75-92
36EEHans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek: Future trends in data mining. Data Min. Knowl. Discov. 15(1): 87-97 (2007)
35EEElke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Efficient reverse k-nearest neighbor estimation. Inform., Forsch. Entwickl. 21(3-4): 179-195 (2007)
2006
34EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Semi-Supervised Threshold Queries on Pharmacogenomics Time Sequences. APBC 2006: 307-316
33EEElke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Approximate reverse k-nearest neighbor queries in general metric spaces. CIKM 2006: 788-789
32EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: TQuEST: Threshold Query Execution for Large Sets of Time Series. EDBT 2006: 1147-1150
31EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Similarity Search on Time Series Based on Threshold Queries. EDBT 2006: 276-294
30EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Threshold Similarity Queries in Large Time Series Databases. ICDE 2006: 149
29EEElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek: Deriving quantitative models for correlation clusters. KDD 2006: 4-13
28EEHans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin: Effective similarity search in multimedia databases using multiple representations. MMM 2006
27EEElke Achtert, Christian Böhm, Peer Kröger: DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking. PAKDD 2006: 119-128
26EEElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek: Finding Hierarchies of Subspace Clusters. PKDD 2006: 446-453
25EEElke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Efficient reverse k-nearest neighbor search in arbitrary metric spaces. SIGMOD Conference 2006: 515-526
24EEElke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek: Mining Hierarchies of Correlation Clusters. SSDBM 2006: 119-128
23EEHans-Peter Kriegel, Peer Kröger, Matthias Schubert, Ziyue Zhu: Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations. SSDBM 2006: 184-190
22EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz: Time Series Analysis Using the Concept of Adaptable Threshold Similarity. SSDBM 2006: 251-260
2005
21EEElke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger: Online Hierarchical Clustering in a Data Warehouse Environment. ICDM 2005: 10-17
20EEHans-Peter Kriegel, Peer Kröger, Matthias Renz, Sebastian Wurst: A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data. ICDM 2005: 250-257
19EEHans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert: Effective and Efficient Distributed Model-Based Clustering. ICDM 2005: 258-265
18EEChristian Böhm, Hans-Peter Kriegel, Peer Kröger, Petra Linhart: Selectivity Estimation of High Dimensional Window Queries via Clustering. SSTD 2005: 1-18
17EEJohannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Marco Pötke: Accurate and Efficient Similarity Search on 3D Objects Using Point Sampling, Redundancy, and Proportionality. SSTD 2005: 200-217
2004
16EEStefan Brecheisen, Hans-Peter Kriegel, Peer Kröger, Martin Pfeifle, Maximilian Viermetz, Marco Pötke: BOSS: Browsing OPTICS-Plots for Similarity Search. ICDE 2004: 858
15EEChristian Baumgartner, Claudia Plant, Karin Kailing, Hans-Peter Kriegel, Peer Kröger: Subspace Selection for Clustering High-Dimensional Data. ICDM 2004: 11-18
14EEChristian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger: Density Connected Clustering with Local Subspace Preferences. ICDM 2004: 27-34
13EEPeer Kröger, Hans-Peter Kriegel, Karin Kailing: Density-Connected Subspace Clustering for High-Dimensional Data. SDM 2004
12EEHans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert: Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. SDM 2004
11EEStefan Brecheisen, Hans-Peter Kriegel, Peer Kröger, Martin Pfeifle: Visually Mining through Cluster Hierarchies. SDM 2004
10EEChristian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek: Computing Clusters of Correlation Connected Objects. SIGMOD Conference 2004: 455-466
9 Christian Böhm, Karin Kailing, Peer Kröger, Hans-Peter Kriegel: Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen. Datenbank-Spektrum 9: 11-17 (2004)
2003
8EEFrançois Bry, Peer Kröger: Bioinformatics Databases: State of the Art and Research Perspectives. ADBIS 2003: 3
7EEHans-Peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl: Effective Similarity Search on Voxelized CAD Object. DASFAA 2003: 27-
6EEHans-Peter Kriegel, Peer Kröger, Irina Gotlibovich: Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering. DaWaK 2003: 224-233
5EEKarin Kailing, Hans-Peter Kriegel, Peer Kröger, Stefanie Wanka: Ranking Interesting Subspaces for Clustering High Dimensional Data. PKDD 2003: 241-252
4EEHans-Peter Kriegel, Stefan Brecheisen, Peer Kröger, Martin Pfeifle, Matthias Schubert: Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects. SIGMOD Conference 2003: 587-598
3 François Bry, Peer Kröger: A Computational Biology Database Digest: Data, Data Analysis, and Data Management. Distributed and Parallel Databases 13(1): 7-42 (2003)
2002
2EEFrançois Bry, Peer Kröger: Datenbanken in der Bioinformatik. Informatik Spektrum 25(5): 359-362 (2002)
2001
1EEMarkus M. Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander: Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. SIGMOD Conference 2001: 79-90

Coauthor Index

1Elke Achtert [21] [24] [25] [26] [27] [29] [33] [35] [38] [39] [42] [43] [47] [57]
2Johannes Aßfalg [17] [22] [30] [31] [32] [34] [41] [48] [49] [59]
3Christian Baumgartner [15]
4Thomas Bernecker [59]
5Christian Böhm [9] [10] [14] [18] [21] [24] [25] [26] [27] [29] [33] [35] [38] [39] [42] [43] [47]
6Karsten M. Borgwardt [36]
7Stefan Brecheisen [4] [11] [16]
8Markus M. Breunig [1]
9François Bry (François Bry-Haußer) [2] [3] [8]
10Jörn David [47]
11Irina Gotlibovich [6]
12Karin Kailing [5] [9] [10] [13] [14] [15]
13Alexander Katzdobler [56]
14Hans-Peter Kriegel [1] [4] [5] [6] [7] [9] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [26] [28] [29] [30] [31] [32] [34] [36] [37] [38] [39] [40] [41] [42] [44] [45] [46] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59]
15Peter Kunath [22] [25] [28] [30] [31] [32] [33] [34] [35] [37] [40] [41] [43] [48] [49] [50]
16Petra Linhart [18]
17Zahi Mashael [7]
18Ina Müller-Gorman [26] [42]
19Martin Pfeifle [4] [7] [11] [16]
20Claudia Plant [15]
21Marco Pötke [7] [16] [17]
22Alexey Pryakhin [12] [19] [22] [25] [28] [30] [31] [32] [33] [34] [35] [36] [41] [43] [48] [49] [52] [53]
23Matthias Renz [20] [22] [25] [30] [31] [32] [33] [34] [35] [37] [40] [41] [43] [46] [48] [49] [50] [51] [52] [53] [56] [57] [58] [59]
24Jörg Sander [1]
25Tim Schmidt [40] [46] [50]
26Erich Schubert [45] [55]
27Matthias Schubert [4] [12] [19] [23] [36]
28Thomas Seidl [7]
29Maximilian Viermetz [16]
30Stefanie Wanka [5]
31Sebastian Wurst [20]
32Andrew Zherdin [53]
33Ziyue Zhu [23]
34Arthur Zimek [10] [24] [26] [29] [36] [38] [39] [42] [44] [45] [47] [54] [55]
35Andreas Züfle [56] [57]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)