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Martin Ester: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
    A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. [Citation Graph (27, 0)][DBLP]
    KDD, 1996, pp:226-231 [Conf]
  2. Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
    A Database Interface for Clustering in Large Spatial Databases. [Citation Graph (12, 0)][DBLP]
    KDD, 1995, pp:94-99 [Conf]
  3. Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
    Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. [Citation Graph (11, 0)][DBLP]
    SSD, 1995, pp:67-82 [Conf]
  4. Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander
    A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. [Citation Graph (4, 5)][DBLP]
    ICDE, 1998, pp:324-331 [Conf]
  5. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu
    Incremental Clustering for Mining in a Data Warehousing Environment. [Citation Graph (4, 17)][DBLP]
    VLDB, 1998, pp:323-333 [Conf]
  6. Martin Ester, Rüdiger Wittmann
    Incremental Generalization for Mining in a Data Warehousing Environment. [Citation Graph (1, 8)][DBLP]
    EDBT, 1998, pp:135-149 [Conf]
  7. Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
    Algorithms for Characterization and Trend Detection in Spatial Databases. [Citation Graph (1, 0)][DBLP]
    KDD, 1998, pp:44-50 [Conf]
  8. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
    Density-Connected Sets and their Application for Trend Detection in Spatial Databases. [Citation Graph (1, 0)][DBLP]
    KDD, 1997, pp:10-15 [Conf]
  9. Martin Ester, Hans-Peter Kriegel, Jörg Sander
    Spatial Data Mining: A Database Approach. [Citation Graph (1, 0)][DBLP]
    SSD, 1997, pp:47-66 [Conf]
  10. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
    Clustering for Mining in Large Spatial Databases. [Citation Graph (1, 0)][DBLP]
    KI, 1998, v:12, n:1, pp:18-24 [Journal]
  11. Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander
    Database Primitives for Spatial Data Mining. [Citation Graph (0, 0)][DBLP]
    BTW, 1999, pp:137-150 [Conf]
  12. Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu
    Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. [Citation Graph (0, 0)][DBLP]
    BTW, 1995, pp:373-382 [Conf]
  13. Hans-Jürgen Appelrath, Martin Ester
    Integrity in a Knowledge Based Office Information System: Modeling with Extended SDM and Implementation with Prolog. [Citation Graph (0, 0)][DBLP]
    Büroautomation, 1985, pp:172-191 [Conf]
  14. Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
    Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:239-246 [Conf]
  15. Martin Ester, Hans-Peter Kriegel, Jörg Sander
    Knowledge Discovery in Spatial Databases. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:1-14 [Conf]
  16. Kai Yu, Zhong Wen, Xiaowei Xu, Martin Ester
    Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address). [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 2001, pp:285-290 [Conf]
  17. Byron J. Gao, Martin Ester
    Right of Inference: Nearest Rectangle Learning Revisited. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:638-645 [Conf]
  18. Martin Ester, Hans-Peter Kriegel, Stefan Wirth
    Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental Results. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1996, pp:193-196 [Conf]
  19. Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
    Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2000, pp:256-267 [Conf]
  20. Martin Ester, Jörn Kohlhammer, Hans-Peter Kriegel
    The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses. [Citation Graph (0, 0)][DBLP]
    ICDE, 2000, pp:379-388 [Conf]
  21. Byron J. Gao, Martin Ester
    Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:200-211 [Conf]
  22. Gabriela Moise, Jörg Sander, Martin Ester
    P3C: A Robust Projected Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:414-425 [Conf]
  23. Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel
    Visual Classification: An Interactive Approach to Decision Tree Construction. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:392-396 [Conf]
  24. Florian Beil, Martin Ester, Xiaowei Xu
    Frequent term-based text clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:436-442 [Conf]
  25. Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
    Towards an effective cooperation of the user and the computer for classification. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:179-188 [Conf]
  26. Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones
    Discovering significant OPSM subspace clusters in massive gene expression data. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:922-928 [Conf]
  27. Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
    A microeconomic data mining problem: customer-oriented catalog segmentation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:557-562 [Conf]
  28. Martin Ester, Hans-Peter Kriegel, Matthias Schubert
    Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:249-258 [Conf]
  29. Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman
    Frequent-subsequence-based prediction of outer membrane proteins. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:436-445 [Conf]
  30. Martin Ester, Hans-Peter Kriegel, Jörg Sander
    Knowledge Discovery in Spatial Databases. [Citation Graph (0, 0)][DBLP]
    KI, 1999, pp:61-74 [Conf]
  31. Stefan Holland, Martin Ester, Werner Kießling
    Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:204-216 [Conf]
  32. Wen Jin, Martin Ester, Jiawei Han
    Efficient Processing of Ranked Queries with Sweeping Selection. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:527-535 [Conf]
  33. Wen Jin, Jiawei Han, Martin Ester
    Mining Thick Skylines over Large Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:255-266 [Conf]
  34. Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe
    Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  35. Martin Ester, Xiang Zhang
    A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  36. Benjamin C. M. Fung, Ke Wang, Martin Ester
    Hierarchical Document Clustering using Frequent Itemsets. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  37. Byron J. Gao, Martin Ester
    Cluster Description Formats, Problems and Algorithms. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  38. Feng Cao, Martin Ester, Weining Qian, Aoying Zhou
    Density-Based Clustering over an Evolving Data Stream with Noise. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  39. Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel
    Instance Selection Techniques for Memory-based Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  40. Rong Ge, Martin Ester, Wen Jin, Zengjian Hu
    A Disc-based Approach to Data Summarization and Privacy Preservation. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2006, pp:321-332 [Conf]
  41. Martin Ester, Hans-Peter Kriegel, Matthias Schubert
    Accurate and Efficient Crawling for Relevant Websites. [Citation Graph (0, 0)][DBLP]
    VLDB, 2004, pp:396-407 [Conf]
  42. Jian Pei, Wen Jin, Martin Ester, Yufei Tao
    Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. [Citation Graph (0, 0)][DBLP]
    VLDB, 2005, pp:253-264 [Conf]
  43. Hans-Jürgen Appelrath, Martin Ester, Heinrich Jasper, Alfred Ultsch
    KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung. [Citation Graph (0, 0)][DBLP]
    Expertensysteme, 1987, pp:1-18 [Conf]
  44. Jennifer L. Gardy, Matthew R. Laird, Fei Chen, S. Rey, C. J. Walsh, Martin Ester, Fiona S. L. Brinkman
    PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:5, pp:617-623 [Journal]
  45. Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
    Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2000, v:4, n:2/3, pp:193-216 [Journal]
  46. Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
    Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1998, v:2, n:2, pp:169-194 [Journal]
  47. Martin Ester
    Knowledge Discovery in Spatial Databases (Abstract). [Citation Graph (0, 0)][DBLP]
    Datenbank Rundbrief, 1999, v:23, n:, pp:25- [Journal]
  48. Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel
    Perception-Based Classification. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1999, v:23, n:4, pp:- [Journal]
  49. Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
    Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2003, v:5, n:2, pp:201-224 [Journal]
  50. Jennifer L. Gardy, Cory Spencer, Ke Wang, Martin Ester, Gábor E. Tusnády, István Simon, Sujun Hua, Katalin de Fays, Christophe G. Lambert, Kenta Nakai, Fiona S. L. Brinkman
    PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2003, v:31, n:13, pp:3613-3617 [Journal]
  51. Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
    Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2001, v:13, n:1, pp:79-95 [Journal]
  52. Jian Pei, Yidong Yuan, Xuemin Lin, Wen Jin, Martin Ester, Qing Liu, Wei Wang, Yufei Tao, Jeffrey Xu Yu, Qing Zhang
    Towards multidimensional subspace skyline analysis. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2006, v:31, n:4, pp:1335-1381 [Journal]
  53. Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han
    The Multi-Relational Skyline Operator. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:1276-1280 [Conf]
  54. Flavia Moser, Rong Ge, Martin Ester
    Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:510-519 [Conf]
  55. Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong
    The minimum consistent subset cover problem and its applications in data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:310-319 [Conf]
  56. Ian Davidson, S. S. Ravi, Martin Ester
    Efficient incremental constrained clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:240-249 [Conf]
  57. Rong Ge, Martin Ester, Wen Jin, Ian Davidson
    Constraint-driven clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:320-329 [Conf]
  58. Richard Frank, Flavia Moser, Martin Ester
    A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:430-437 [Conf]
  59. Richard Frank, Wen Jin, Martin Ester
    Efficiently Mining Regional Outliers in Spatial Data. [Citation Graph (0, 0)][DBLP]
    SSTD, 2007, pp:112-129 [Conf]
  60. Wen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han
    On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:12- [Conf]
  61. Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester
    On Dominating Your Neighborhood Profitably. [Citation Graph (0, 0)][DBLP]
    VLDB, 2007, pp:818-829 [Conf]
  62. Oliver Schulte, Flavia Moser, Martin Ester, Zhiyong Lu
    Association Rules in the Relational Calculus [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  63. FVC: A Feature-Vector-Based Classification for XML Dissemination. [Citation Graph (, )][DBLP]


  64. Evaluating skylines in the presence of equijoins. [Citation Graph (, )][DBLP]


  65. A multi-relational approach to spatial classification. [Citation Graph (, )][DBLP]


  66. TrustWalker: a random walk model for combining trust-based and item-based recommendation. [Citation Graph (, )][DBLP]


  67. Mining Cohesive Patterns from Graphs with Feature Vectors. [Citation Graph (, )][DBLP]


  68. Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks. [Citation Graph (, )][DBLP]


  69. Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy. [Citation Graph (, )][DBLP]


  70. FeedbackTrust: using feedback effects in trust-based recommendation systems. [Citation Graph (, )][DBLP]


  71. Using a trust network to improve top-N recommendation. [Citation Graph (, )][DBLP]


  72. Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts. [Citation Graph (, )][DBLP]


  73. Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery. [Citation Graph (, )][DBLP]


  74. Slider - maximum use of probability information for alignment of short sequence reads and SNP detection. [Citation Graph (, )][DBLP]


  75. PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. [Citation Graph (, )][DBLP]


  76. Join Bayes Nets: A new type of Bayes net for relational data [Citation Graph (, )][DBLP]


  77. KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis [Citation Graph (, )][DBLP]


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