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Christian Böhm: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel
    A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. [Citation Graph (29, 15)][DBLP]
    PODS, 1997, pp:78-86 [Conf]
  2. Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel
    Fast Parallel Similarity Search in Multimedia Databases. [Citation Graph (18, 14)][DBLP]
    SIGMOD Conference, 1997, pp:1-12 [Conf]
  3. Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel
    The Pyramid-Technique: Towards Breaking the Curse of Dimensionality. [Citation Graph (12, 21)][DBLP]
    SIGMOD Conference, 1998, pp:142-153 [Conf]
  4. Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel
    Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations. [Citation Graph (4, 18)][DBLP]
    EDBT, 1998, pp:216-230 [Conf]
  5. Stefan Berchtold, Christian Böhm, H. V. Jagadish, Hans-Peter Kriegel, Jörg Sander
    Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. [Citation Graph (1, 0)][DBLP]
    ICDE, 2000, pp:577-588 [Conf]
  6. Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel, Matthias Schubert
    Efficient Similarity Search in Digital Libraries. [Citation Graph (0, 0)][DBLP]
    ADL, 2000, pp:193-206 [Conf]
  7. Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert
    Effective and Efficient Indexing for Large Video Databases. [Citation Graph (0, 0)][DBLP]
    BTW, 2007, pp:132-151 [Conf]
  8. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz
    Efficient Reverse k-Nearest Neighbor Estimation. [Citation Graph (0, 0)][DBLP]
    BTW, 2007, pp:344-363 [Conf]
  9. Christian Böhm, Bernhard Braunmüller, Markus M. Breunig, Hans-Peter Kriegel
    High Performance Clustering Based on the Similarity Join. [Citation Graph (0, 0)][DBLP]
    CIKM, 2000, pp:298-305 [Conf]
  10. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz
    Approximate reverse k-nearest neighbor queries in general metric spaces. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:788-789 [Conf]
  11. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel, Xiaowei Xu
    Optimal Multidimensional Query Processing Using Tree Striping. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2000, pp:244-257 [Conf]
  12. Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel, Urs Michel
    Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases. [Citation Graph (0, 0)][DBLP]
    DaWaK, 1999, pp:261-270 [Conf]
  13. Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel
    The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k-Nearest-Neighbor Queries. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2000, pp:372-381 [Conf]
  14. Christian Böhm, Hans-Peter Kriegel
    Determining the Convex Hull in Large Multidimensional Databases. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2001, pp:294-306 [Conf]
  15. Christian Böhm, Hans-Peter Kriegel
    Efficient Bulk Loading of Large High-Dimensional Indexes. [Citation Graph (0, 0)][DBLP]
    DaWaK, 1999, pp:251-260 [Conf]
  16. Christian Böhm, Florian Krebs, Hans-Peter Kriegel
    Optimal Dimension Order: A Generic Technique for the Similarity Join. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2002, pp:135-149 [Conf]
  17. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl
    Adaptable Similarity Search Using Vector Quantization. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2001, pp:317-327 [Conf]
  18. Christian Böhm, Florian Krebs
    Supporting KDD Applications by the k-Nearest Neighbor Join. [Citation Graph (0, 0)][DBLP]
    DEXA, 2003, pp:504-516 [Conf]
  19. Christian Böhm, A. Oppitz, Pavel Vogel, Stephan Wiesener
    Prints of the 17th Century in a Distributed Library System [Citation Graph (0, 0)][DBLP]
    DEXA, 1995, pp:68-78 [Conf]
  20. Christian Böhm, Hans-Peter Kriegel
    Dynamically Optimizing High-Dimensional Index Structures. [Citation Graph (0, 32)][DBLP]
    EDBT, 2000, pp:36-50 [Conf]
  21. Christian Böhm, Hans-Peter Kriegel
    A Cost Model and Index Architecture for the Similarity Join. [Citation Graph (0, 0)][DBLP]
    ICDE, 2001, pp:411-420 [Conf]
  22. Christian Böhm, Alexey Pryakhin, Matthias Schubert
    The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:9- [Conf]
  23. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger
    Online Hierarchical Clustering in a Data Warehouse Environment. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:10-17 [Conf]
  24. Christian Böhm, Florian Krebs
    High Performance Data Mining Using the Nearest Neighbor Join. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:43-50 [Conf]
  25. Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger
    Density Connected Clustering with Local Subspace Preferences. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:27-34 [Conf]
  26. Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel
    On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. [Citation Graph (0, 20)][DBLP]
    ICDT, 2001, pp:435-449 [Conf]
  27. Christian Böhm, Christos Faloutsos, Jia-Yu Pan, Claudia Plant
    Robust information-theoretic clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:65-75 [Conf]
  28. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
    Deriving quantitative models for correlation clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:4-13 [Conf]
  29. Elke Achtert, Christian Böhm, Peer Kröger
    DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:119-128 [Conf]
  30. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek
    Finding Hierarchies of Subspace Clusters. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:446-453 [Conf]
  31. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz
    Efficient reverse k-nearest neighbor search in arbitrary metric spaces. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2006, pp:515-526 [Conf]
  32. Christian Böhm, Bernhard Braunmüller, Florian Krebs, Hans-Peter Kriegel
    Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2001, pp:379-388 [Conf]
  33. Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek
    Computing Clusters of Correlation Connected Objects. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:455-466 [Conf]
  34. Christian Böhm, Gerald Klump, Hans-Peter Kriegel
    XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension. [Citation Graph (0, 0)][DBLP]
    SSD, 1999, pp:75-90 [Conf]
  35. Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Petra Linhart
    Selectivity Estimation of High Dimensional Window Queries via Clustering. [Citation Graph (0, 0)][DBLP]
    SSTD, 2005, pp:1-18 [Conf]
  36. Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek
    Mining Hierarchies of Correlation Clusters. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2006, pp:119-128 [Conf]
  37. Christian Böhm, Alexey Pryakhin, Matthias Schubert
    Probabilistic Ranking Queries on Gaussians. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2006, pp:169-178 [Conf]
  38. Christian Baumgartner, Christian Böhm, Daniela Baumgartner, G. Marini, K. Weinberger, B. Olgemöller, B. Liebl, A. A. Roscher
    Supervised machine learning techniques for the classification of metabolic disorders in newborns. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:17, pp:2985-2996 [Journal]
  39. Claudia Plant, Christian Böhm, Bernhard Tilg, Christian Baumgartner
    Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:8, pp:981-988 [Journal]
  40. Christian Böhm, Stefan Berchtold, Daniel A. Keim
    Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2001, v:33, n:3, pp:322-373 [Journal]
  41. Christian Böhm, Karin Kailing, Peer Kröger, Hans-Peter Kriegel
    Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2004, v:9, n:, pp:11-17 [Journal]
  42. Elke Achtert, Christian Böhm, Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Renz, Matthias Schubert
    Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2006, v:19, n:, pp:32-39 [Journal]
  43. Christian Böhm
    Efficiently Indexing High-Dimensional Data Spaces (Abstract). [Citation Graph (0, 0)][DBLP]
    Datenbank Rundbrief, 1999, v:23, n:, pp:23-24 [Journal]
  44. Christian Böhm, Hans-Peter Kriegel
    Optimale Dimensionswahl bei der Bearbeitung des Similarity Join. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 2002, v:17, n:2, pp:68-76 [Journal]
  45. Christian Baumgartner, Christian Böhm, Daniela Baumgartner
    Modelling of classification rules on metabolic patterns including machine learning and expert knowledge. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:2, pp:89-98 [Journal]
  46. Christian Böhm, Stefan Berchtold, Hans-Peter Kriegel, Urs Michel
    Multidimensional Index Structures in Relational Databases. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2000, v:15, n:1, pp:51-70 [Journal]
  47. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl
    Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:19, n:2, pp:207-230 [Journal]
  48. Christian Böhm, Florian Krebs
    The k-Nearest Neighbour Join: Turbo Charging the KDD Process. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2004, v:6, n:6, pp:728-749 [Journal]
  49. Christian Böhm
    A cost model for query processing in high dimensional data spaces. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2000, v:25, n:2, pp:129-178 [Journal]
  50. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek
    Detection and Visualization of Subspace Cluster Hierarchies. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2007, pp:152-163 [Conf]
  51. Christian Böhm, Michael Gruber, Peter Kunath, Alexey Pryakhin, Matthias Schubert
    ProVeR: Probabilistic Video Retrieval using the Gauss-Tree. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:1521-1522 [Conf]
  52. Christian Böhm, Beng Chin Ooi, Claudia Plant, Ying Yan
    Efficiently Processing Continuous k-NN Queries on Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:156-165 [Conf]
  53. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
    Robust, Complete, and Efficient Correlation Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  54. Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert
    Querying Objects Modeled by Arbitrary Probability Distributions. [Citation Graph (0, 0)][DBLP]
    SSTD, 2007, pp:294-311 [Conf]
  55. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
    On Exploring Complex Relationships of Correlation Clusters. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:7- [Conf]
  56. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz
    Efficient reverse k-nearest neighbor estimation. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 2007, v:21, n:3-4, pp:179-195 [Journal]
  57. Christian Baumgartner, Kurt Gautsch, Christian Böhm, Stephan Felber
    Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke? [Citation Graph (0, 0)][DBLP]
    J. Digital Imaging, 2005, v:18, n:3, pp:219-226 [Journal]

  58. Indexsupported Similarity Join on Graphics Processors. [Citation Graph (, )][DBLP]


  59. Model-based Classification of Data with Time Series-valued Attributes. [Citation Graph (, )][DBLP]


  60. Probabilistic skyline queries. [Citation Graph (, )][DBLP]


  61. Density-based clustering using graphics processors. [Citation Graph (, )][DBLP]


  62. HISSCLU: a hierarchical density-based method for semi-supervised clustering. [Citation Graph (, )][DBLP]


  63. Information-Theoretic Model Selection for Independent Components. [Citation Graph (, )][DBLP]


  64. Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging. [Citation Graph (, )][DBLP]


  65. CoCo: coding cost for parameter-free outlier detection. [Citation Graph (, )][DBLP]


  66. Clustering by synchronization. [Citation Graph (, )][DBLP]


  67. SkyDist: Data Mining on Skyline Objects. [Citation Graph (, )][DBLP]


  68. Integrative Parameter-Free Clustering of Data with Mixed Type Attributes. [Citation Graph (, )][DBLP]


  69. Synchronization Based Outlier Detection. [Citation Graph (, )][DBLP]


  70. ITCH: Information-Theoretic Cluster Hierarchies. [Citation Graph (, )][DBLP]


  71. Robust Clustering in Arbitrarily Oriented Subspaces. [Citation Graph (, )][DBLP]


  72. Outlier-robust clustering using independent components. [Citation Graph (, )][DBLP]


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