Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDPeer Kröger
Person information
- affiliation: Ludwig Maximilian University of Munich, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j24]Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek
:
Density-based clustering. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 10(2) (2020)- [c114]Daniyal Kazempour, Peer Kröger, Thomas Seidl:
Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. ICDM (Workshops) 2020: 300-307 - [c113]Daniyal Kazempour, Long Mathias Yan, Peer Kröger, Thomas Seidl:
You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. ICDM (Workshops) 2020: 308-315 - [c112]Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl:
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. ICDM (Workshops) 2020: 316-323 - [c111]Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl:
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. PAKDD (1) 2020: 356-368 - [i3]Tobias Emrich, Hans-Peter Kriegel, Andreas Züfle, Peer Kröger, Matthias Renz:
Complete and Sufficient Spatial Domination of Multidimensional Rectangles. CoRR abs/2001.05581 (2020) - [i2]Sandra Obermeier, Max Berrendorf, Peer Kröger:
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation. CoRR abs/2011.01773 (2020)
2010 – 2019
- 2019
- [j23]Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl:
Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm. Distributed Parallel Databases 37(1): 39-72 (2019) - [c110]Daniyal Kazempour, Maksim Kazakov, Peer Kröger, Thomas Seidl:
DICE: Density-based Interactive Clustering and Exploration. BTW 2019: 547-550 - [c109]Daniyal Kazempour, Lisa Krombholz, Peer Kröger, Thomas Seidl:
A Galaxy of Correlations. EDBT 2019: 702-705 - [c108]Max Berrendorf, Felix Borutta, Peer Kröger:
k-Distance Approximation for Memory-Efficient RkNN Retrieval. SISAP 2019: 57-71 - [c107]Felix Borutta, Peer Kröger, Thomas Hubauer:
A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams. SISAP 2019: 203-211 - [c106]Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl:
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. SISAP 2019: 221-230 - [c105]Daniyal Kazempour, Kilian Emmerig, Peer Kröger, Thomas Seidl:
Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform. SSDBM 2019: 222-225 - 2018
- [j22]Daniel Kaltenthaler, Johannes-Y. Lohrer, Florian Richter, Peer Kröger:
Interdisciplinary knowledge cohesion through distributed information management systems. J. Inf. Commun. Ethics Soc. 16(4): 413-426 (2018) - [c104]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
Event-Enhanced Learning for KG Completion. ESWC 2018: 541-559 - [c103]Daniel Kaltenthaler, Johannes-Y. Lohrer, Peer Kröger:
ReMIS and ReMIS Cloud: Information Systems for Retrieving Disciplinary and Interdisciplinary Data. HCI (28) 2018: 54-61 - [c102]Daniel Kaltenthaler, Johannes-Y. Lohrer, Peer Kröger, Henriette Obermaier:
xBook, a Framework for Common Scientific Databases. HCI (28) 2018: 62-70 - [c101]Daniyal Kazempour, Andrian Mörtlbauer, Peer Kröger, Thomas Seidl:
Mirror Mirror on the Wall, What is the Fairest Linear Parameter Space Representation of All? On Representations of Linear Parameter Space in Context of Clustering. LWDA 2018: 169-173 - [c100]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding. International Semantic Web Conference (P&D/Industry/BlueSky) 2018 - [c99]Daniyal Kazempour, Kevin Bein, Peer Kröger, Thomas Seidl:
D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space. SISAP 2018: 163-176 - [r4]Peer Kröger, Matthias Renz:
Multi step Query Processing. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Peer Kröger, Arthur Zimek:
Subspace Clustering Techniques. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j21]Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek:
Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. 10(7): 769-780 (2017) - [c98]Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
On event-driven knowledge graph completion in digital factories. IEEE BigData 2017: 1676-1681 - [c97]Daniel Kaltenthaler, Johannes-Y. Lohrer, Peer Kröger, Henriette Obermaier:
A Framework for Supporting the Workflow for Archaeo-related Sciences: Managing, Synchronizing and Analyzing Data. BTW (Workshops) 2017: 89-98 - [c96]Daniel Kaltenthaler, Johannes-Y. Lohrer, Ptolemaios D. Paxinos, Daniel Hammerle, Henriette Obermaier, Peer Kröger:
TaRDIS, a Visual Analytics System for Spatial and Temporal Data in Archaeo-Related Disciplines. eScience 2017: 345-353 - [c95]Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti, Peer Kröger:
Knowledge Fusion of Manufacturing Operations Data Using Representation Learning. APMS (2) 2017: 302-310 - [c94]Ilkcan Keles, Matthias Schubert, Peer Kröger, Simonas Saltenis, Christian S. Jensen:
Extracting visited points of interest from vehicle trajectories. GeoRich@SIGMOD 2017: 2:1-2:6 - [c93]Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl:
Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. SSDBM 2017: 31:1-31:6 - [e3]Christian Beecks, Felix Borutta, Peer Kröger, Thomas Seidl:
Similarity Search and Applications - 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science 10609, Springer 2017, ISBN 978-3-319-68473-4 [contents] - 2016
- [j20]Johannes-Y. Lohrer, Daniel Kaltenthaler, Peer Kröger, Christiaan van der Meijden, Henriette Obermaier:
A generic framework for synchronized distributed data management in archaeological related disciplines. Future Gener. Comput. Syst. 56: 558-570 (2016) - [c92]Markus Mauder, Eirini Ntoutsi, Peer Kröger, Christoph Mayr, Gisela Grupe, Anita Toncala, Stefan Holzl:
Applying data mining methods for the analysis of stable isotope data in bioarchaeology. eScience 2016: 233-242 - [c91]Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger:
Knowledge Graph Constraints for Multi-label Graph Classification. ICDM Workshops 2016: 121-127 - 2015
- [j19]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Johannes Niedermayer, Matthias Renz, Andreas Züfle:
On reverse-k-nearest-neighbor joins. GeoInformatica 19(2): 299-330 (2015) - [c90]Johannes Niedermayer, Peer Kröger:
Minimizing the Number of Keypoint Matching Queries for Object Retrieval. BMVC 2015: 48.1-48.13 - [c89]Felix Borutta, Mario A. Nascimento, Johannes Niedermayer, Peer Kröger:
Reverse k-nearest neighbour schedules in time-dependent road networks. SIGSPATIAL/GIS 2015: 27:1-27:10 - [c88]Daniel Kaltenthaler, Johannes-Y. Lohrer, Peer Kröger, Christiaan Hendrikus van der Meijden, Henriette Obermaier:
Synchronized Data Management and Its Integration into a Graphical User Interface for Archaeological Related Disciplines. HCI (19) 2015: 317-329 - [c87]Markus Mauder, Eirini Ntoutsi, Peer Kröger, Gisela Grupe:
Data mining for isotopic mapping of bioarchaeological finds in a central european alpine passage. SSDBM 2015: 34:1-34:6 - 2014
- [j18]Peer Kröger, John Krumm, Peter Widmayer:
Highlights from ACM SIGSPATIAL GIS 2013: the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: (Orlando, Florida, November 5-8, 2013). ACM SIGSPATIAL Special 6(1): 2-4 (2014) - [c86]Michael Steinke, Johannes Niedermayer, Peer Kröger:
Selectivity Estimation of Reverse k-Nearest Neighbor Queries. DASFAA (2) 2014: 108-123 - [c85]Johannes-Y. Lohrer, Daniel Kaltenthaler, Peer Kröger, Christiaan Hendrikus van der Meijden, Henriette Obermaier:
A Generic Framework for Synchronized Distributed Data Management in Archaeological Related Disciplines. eScience 2014: 5-12 - [c84]Johannes Niedermayer, Mario A. Nascimento, Matthias Renz, Peer Kröger, Hans-Peter Kriegel:
Continuous Quantile Query Processing in Wireless Sensor Networks. EDBT 2014: 247-258 - [c83]Felix Borutta, Mario A. Nascimento, Johannes Niedermayer, Peer Kröger:
Monochromatic RkNN queries in time-dependent road networks. MobiGIS 2014: 26-33 - [c82]Johannes Niedermayer, Peer Kröger:
Retrieval of Binary Features in Image Databases: A Study. SISAP 2014: 151-163 - [i1]Johannes Niedermayer, Peer Kröger:
Minimizing the Number of Matching Queries for Object Retrieval. CoRR abs/1412.5808 (2014) - 2013
- [j17]Peer Kröger, Stratis Viglas:
Front Matter. Proc. VLDB Endow. 6(2): i-x (2013) - [j16]Peer Kröger, Stratis Viglas:
Front Matter. Proc. VLDB Endow. 6(13): i-x (2013) - [j15]Peer Kröger, Egemen Tanin, Peter Widmayer:
Highlights from ACM SIGSPATIAL GIS 2012 the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Redondo Beach, California, November 6-9, 2012). ACM SIGSPATIAL Special 5(1): 2-4 (2013) - [c81]Tobias Emrich, Peer Kröger, Johannes Niedermayer, Matthias Renz, Andreas Züfle:
A Mutual Pruning Approach for RkNN Join Processing. BTW 2013: 21-35 - [c80]Johannes Niedermayer, Mario A. Nascimento, Matthias Renz, Peer Kröger, Khaled Ammar, Hans-Peter Kriegel:
Cost-Based Quantile Query Processing in Wireless Sensor Networks. MDM (1) 2013: 237-246 - [c79]Markus Mauder, Peer Kröger, Karl-Ludwig Schinner:
A Similarity Model for 3D Objects Based on Stable Sub-clouds. SISAP 2013: 213-218 - [c78]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Johannes Niedermayer, Matthias Renz, Andreas Züfle:
Reverse-k-Nearest-Neighbor Join Processing. SSTD 2013: 277-294 - [c77]Fabian D. Winter, Peer Kröger, Johannes Niedermayer, Matthias Renz:
Autonomous clustering for wireless sensor networks. SSDBM 2013: 36:1-36:4 - [e2]Craig A. Knoblock, Markus Schneider, Peer Kröger, John Krumm, Peter Widmayer:
21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2013, Orlando, FL, USA, November 5-8, 2013. ACM 2013, ISBN 978-1-4503-2521-9 [contents] - 2012
- [j14]Peer Kröger, Matthias Renz:
Highlights from QuEST 2011: 2nd SIGSPATIAL ACM GIS 2011 International Workshop on Querying and Mining Uncertain Spatio-Temporal Data: (Chicago, IL - November 1, 2011). ACM SIGSPATIAL Special 4(1): 14-15 (2012) - [j13]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Subspace clustering. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 2(4): 351-364 (2012) - [c76]Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Outlier Detection in Arbitrarily Oriented Subspaces. ICDM 2012: 379-388 - [c75]Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel:
Density-based Projected Clustering over High Dimensional Data Streams. SDM 2012: 987-998 - [e1]Isabel F. Cruz, Craig A. Knoblock, Peer Kröger, Egemen Tanin, Peter Widmayer:
SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), SIGSPATIAL'12, Redondo Beach, CA, USA, November 7-9, 2012. ACM 2012, ISBN 978-1-4503-1691-0 [contents] - 2011
- [j12]Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek:
Density-based clustering. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 1(3): 231-240 (2011) - [c74]Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Fabian D. Winter:
Proximity queries in time-dependent traffic networks using graph embeddings. CTS@GIS 2011: 45-54 - [c73]Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Interpreting and Unifying Outlier Scores. SDM 2011: 13-24 - [c72]Anna Follmann, Mario A. Nascimento, Andreas Züfle, Matthias Renz, Peer Kröger, Hans-Peter Kriegel:
Continuous Probabilistic Count Queries in Wireless Sensor Networks. SSTD 2011: 279-296 - [c71]Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek:
Quality of Similarity Rankings in Time Series. SSTD 2011: 422-440 - [c70]Thomas Bernecker, Hans-Peter Kriegel, Peer Kröger, Matthias Renz:
TiP: Analyzing Periodic Time Series Patterns. SSTD 2011: 491-495 - [c69]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Johannes Senner, Andreas Züfle:
A Visual Evaluation Framework for Spatial Pruning Methods. SSTD 2011: 507-511 - [c68]Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, Arthur Zimek:
Density Based Subspace Clustering over Dynamic Data. SSDBM 2011: 387-404 - 2010
- [j11]Peer Kröger, Matthias Renz:
QUeST 2009 Workshop Report: The 1st International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (Seattle, Washington - November 3, 2009). ACM SIGSPATIAL Special 2(1): 12-13 (2010) - [j10]Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Matthias Schubert:
Metric spaces in data mining: applications to clustering. ACM SIGSPATIAL Special 2(2): 36-39 (2010) - [c67]Johannes Niedermayer, Mario A. Nascimento, Matthias Renz, Peer Kröger, Hans-Peter Kriegel:
Exploiting local node cache in top-k queries within wireless sensor networks. GIS 2010: 434-437 - [c66]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Naixin Xu, Andreas Züfle:
Reverse k-Nearest Neighbor monitoring on mobile objects. GIS 2010: 494-497 - [c65]Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek:
Subspace similarity search using the ideas of ranking and top-k retrieval. ICDE Workshops 2010: 4-9 - [c64]Hans-Peter Kriegel, Peer Kröger, Matthias Renz:
Techniques for efficiently searching in spatial, temporal, spatio-temporal, and multimedia databases. ICDE 2010: 1218-1219 - [c63]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle:
Boosting spatial pruning: on optimal pruning of MBRs. SIGMOD Conference 2010: 39-50 - [c62]Hans-Peter Kriegel, Peer Kröger, Christiaan Hendrikus van der Meijden, Henriette Obermaier, Joris Peters, Matthias Renz:
Towards Archaeo-informatics: Scientific Data Management for Archaeobiology. SSDBM 2010: 169-177 - [c61]Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM 2010: 482-500 - [c60]Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek:
Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. SSDBM 2010: 555-564
2000 – 2009
- 2009
- [j9]Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander:
Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst. 21(3): 299-326 (2009) - [j8]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM Trans. Knowl. Discov. Data 3(1): 1:1-1:58 (2009) - [c59]Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
LoOP: local outlier probabilities. CIKM 2009: 1649-1652 - [c58]Hans-Peter Kriegel, Peer Kröger, Henriette Obermaier, Joris Peters, Matthias Renz, Christiaan Hendrikus van der Meijden:
OSSOBOOK: database and knowledgemanagement techniques for archaeozoology. CIKM 2009: 2091-2092 - [c57]Johannes Aßfalg, Thomas Bernecker, Hans-Peter Kriegel, Peer Kröger, Matthias Renz:
Periodic Pattern Analysis in Time Series Databases. DASFAA 2009: 354-368 - [c56]Hans-Peter Kriegel, Peer Kröger, Matthias Renz:
Techniques for Efficiently Searching in Spatial, Temporal, Spatio-temporal, and Multimedia Databases. DASFAA 2009: 780-783 - [c55]Elke 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 - [c54]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle:
Constrained reverse nearest neighbor search on mobile objects. GIS 2009: 197-206 - [c53]Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle, Alexander Katzdobler:
Incremental Reverse Nearest Neighbor Ranking. ICDE 2009: 1560-1567 - [c52]Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. PAKDD 2009: 831-838 - [c51]Tobias Emrich, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle:
Incremental Reverse Nearest Neighbor Ranking in Vector Spaces. SSTD 2009: 265-282 - [c50]Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Matthias Renz:
Probabilistic Similarity Search for Uncertain Time Series. SSDBM 2009: 435-443 - [c49]Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle, Alexander Katzdobler:
Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods. SSDBM 2009: 444-460 - [r2]Peer Kröger, Matthias Renz:
Multi-Step Query Processing. Encyclopedia of Database Systems 2009: 1858-1862 - [r1]Peer Kröger, Arthur Zimek:
Subspace Clustering Techniques. Encyclopedia of Database Systems 2009: 2873-2875 - 2008
- [j7]Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering. Proc. VLDB Endow. 1(2): 1528-1529 (2008) - [j6]Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Global Correlation Clustering Based on the Hough Transform. Stat. Anal. Data Min. 1(3): 111-127 (2008) - [c48]Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Renz, Andrew Zherdin:
Approximate Clustering of Time Series Using Compact Model-Based Descriptions. DASFAA 2008: 364-379 - [c47]Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Renz:
Analysis of Time Series Using Compact Model-Based Descriptions. DASFAA 2008: 698-701 - [c46]Hans-Peter Kriegel, Peer Kröger, Matthias Renz:
Continuous proximity monitoring in road networks. GIS 2008: 12 - [c45]Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz, Tim Schmidt:
Efficient Query Processing in Large Traffic Networks. ICDE 2008: 1451-1453 - [c44]Johannes 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 - [c43]Johannes 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 - [c42]Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Robust Clustering in Arbitrarily Oriented Subspaces. SDM 2008: 763-774 - [c41]Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Tim Schmidt:
Hierarchical Graph Embedding for Efficient Query Processing in Very Large Traffic Networks. SSDBM 2008: 150-167 - [c40]Hans-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 - 2007
- [j5]Hans-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) - [j4]Elke 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) - [c39]Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Efficient Reverse k-Nearest Neighbor Estimation. BTW 2007: 344-363 - [c38]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek:
Detection and Visualization of Subspace Cluster Hierarchies. DASFAA 2007: 152-163 - [c37]Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Interval-Focused Similarity Search in Time Series Databases. DASFAA 2007: 586-597 - [c36]Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz, Tim Schmidt:
Proximity queries in large traffic networks. GIS 2007: 21 - [c35]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Robust, Complete, and Efficient Correlation Clustering. SDM 2007: 413-418 - [c34]Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Matthias Renz:
Generalizing the Optimality of Multi-step k -Nearest Neighbor Query Processing. SSTD 2007: 75-92 - [c33]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
On Exploring Complex Relationships of Correlation Clusters. SSDBM 2007: 7 - 2006
- [c32]Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Semi-Supervised Threshold Queries on Pharmacogenomics Time Sequences. APBC 2006: 307-316 - [c31]Elke 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 - [c30]Johannes 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 - [c29]Johannes 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 - [c28]Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Threshold Similarity Queries in Large Time Series Databases. ICDE 2006: 149 - [c27]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Deriving quantitative models for correlation clusters. KDD 2006: 4-13 - [c26]Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin:
Effective similarity search in multimedia databases using multiple representations. MMM 2006 - [c25]Elke 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 - [c24]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek:
Finding Hierarchies of Subspace Clusters. PKDD 2006: 446-453 - [c23]Elke 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 - [c22]Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek:
Mining Hierarchies of Correlation Clusters. SSDBM 2006: 119-128 - [c21]Hans-Peter Kriegel, Peer Kröger, Matthias Schubert, Ziyue Zhu:
Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations. SSDBM 2006: 184-190 - [c20]