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

Publications of Author

  1. Rudolf Kruse, Christian Borgelt
    Data Mining with Graphical Models. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:22- [Conf]
  2. Rudolf Kruse, Christian Borgelt
    Data Mining with Graphical Models. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:2-11 [Conf]
  3. Christian Borgelt, Rudolf Kruse
    Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:100-110 [Conf]
  4. Christian Borgelt, Rudolf Kruse
    Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures. [Citation Graph (0, 0)][DBLP]
    ECSQARU-FAPR, 1997, pp:71-85 [Conf]
  5. Christian Borgelt, Michael R. Berthold, David E. Patterson
    Molecular Fragment Mining for Drug Discovery. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:1002-1013 [Conf]
  6. Christian Borgelt, Rudolf Kruse
    An Empirical Investigation of the K2 Metric. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:240-251 [Conf]
  7. Christian Borgelt, Rudolf Kruse
    A Critique of Inductive Causation. [Citation Graph (0, 0)][DBLP]
    ESCQARU, 1999, pp:68-79 [Conf]
  8. Christian Borgelt
    Recursion Pruning for the Apriori Algorithm. [Citation Graph (0, 0)][DBLP]
    FIMI, 2004, pp:- [Conf]
  9. Christian Borgelt, Rudolf Kruse
    Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:135-138 [Conf]
  10. Christian Borgelt, Michael R. Berthold
    Mining Molecular Fragments: Finding Relevant Substructures of Molecules. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:51-58 [Conf]
  11. Christian Borgelt, Thorsten Meinl
    Full Perfect Extension Pruning for Frequent Graph Mining. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:263-268 [Conf]
  12. Heiko Hofer, Christian Borgelt, Michael R. Berthold
    Large Scale Mining of Molecular Fragments with Wildcards. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:376-385 [Conf]
  13. Magdalene Grantson, Christian Borgelt, Christos Levcopoulos
    Minimum Weight Triangulation by Cutting Out Triangles. [Citation Graph (0, 0)][DBLP]
    ISAAC, 2005, pp:984-994 [Conf]
  14. Christian Borgelt, Daniela Girimonte, Giuseppe Acciani
    Modeling and diagnosis of analog circuits with probabilistic graphical models. [Citation Graph (0, 0)][DBLP]
    ISCAS (4), 2004, pp:485-488 [Conf]
  15. Christian Borgelt, Daniela Girimonte, Giuseppe Acciani
    Learning vector quantization: cluster size and cluster number. [Citation Graph (0, 0)][DBLP]
    ISCAS (5), 2004, pp:808-811 [Conf]
  16. Christian Borgelt
    On Identifying Tree-Structured Perfect Maps. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:385-395 [Conf]
  17. Rudolf Kruse, Christian Borgelt
    Data Mining with Graphical Models. [Citation Graph (0, 0)][DBLP]
    KI, 1998, pp:3-16 [Conf]
  18. Christian Borgelt, Andreas Nürnberger
    Experiments in Term Weighting and Keyword Extraction in Document Clustering. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:123-130 [Conf]
  19. Christian Borgelt, Rudolf Kruse
    Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:52-62 [Conf]
  20. Christian Borgelt, Thorsten Meinl, Michael R. Berthold
    Advanced pruning strategies to speed up mining closed molecular fragments. [Citation Graph (0, 0)][DBLP]
    SMC (5), 2004, pp:4565-4570 [Conf]
  21. Christian Borgelt, Heiko Timm
    Advanced Fuzzy Clustering and Decision Tree Plug-Ins for Data EngineTM. [Citation Graph (0, 0)][DBLP]
    Intelligent Systems and Soft Computing, 2000, pp:188-212 [Conf]
  22. Rudolf Kruse, Christian Borgelt, Detlef Nauck
    Problems and Prospects in Fuzzy Data Analysis. [Citation Graph (0, 0)][DBLP]
    Intelligent Systems and Soft Computing, 2000, pp:95-109 [Conf]
  23. Christian Borgelt, Rudolf Kruse
    Operations and evaluation measures for learning possibilistic graphical models. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:148, n:1-2, pp:385-418 [Journal]
  24. Christian Borgelt, Rudolf Kruse
    Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie. [Citation Graph (0, 0)][DBLP]
    Datenbank-Spektrum, 2004, v:9, n:, pp:18-23 [Journal]
  25. Heiko Timm, Christian Borgelt, Christian Döring, Rudolf Kruse
    An extension to possibilistic fuzzy cluster analysis. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:147, n:1, pp:3-16 [Journal]
  26. Heiko Hofer, Christian Borgelt, Michael R. Berthold
    Large scale mining of molecular fragments with wildcards. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2004, v:8, n:5, pp:495-504 [Journal]
  27. Rudolf Kruse, Christian Borgelt
    Information mining. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:32, n:2-3, pp:63-65 [Journal]
  28. Christian Borgelt, Rudolf Kruse
    Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen. [Citation Graph (0, 0)][DBLP]
    KI, 2001, v:15, n:3, pp:5-8 [Journal]
  29. Christian Borgelt, Rudolf Kruse
    Unsicherheit und Vagheit - Serviceteil. [Citation Graph (0, 0)][DBLP]
    KI, 2001, v:15, n:3, pp:48- [Journal]
  30. Christian Borgelt, Rudolf Kruse, Guido Lindner
    Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung. [Citation Graph (0, 0)][DBLP]
    KI, 1998, v:12, n:1, pp:11-17 [Journal]

  31. Prototype-less Fuzzy Clustering. [Citation Graph (, )][DBLP]


  32. Learning Undirected Possibilistic Networks with Conditional Independence Tests. [Citation Graph (, )][DBLP]


  33. FrIDA - A Free Intelligent Data Analysis Toolbox. [Citation Graph (, )][DBLP]


  34. Subgraph Support in a Single Large Graph. [Citation Graph (, )][DBLP]


  35. Fuzzy frequent pattern discovering based on recursive elimination. [Citation Graph (, )][DBLP]


  36. Selecting the Links in BisoNets Generated from Document Collections. [Citation Graph (, )][DBLP]


  37. Support Computation for Mining Frequent Subgraphs in a Single Graph. [Citation Graph (, )][DBLP]


  38. SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining. [Citation Graph (, )][DBLP]


  39. Canonical Forms for Frequent Graph Mining. [Citation Graph (, )][DBLP]


  40. Graph Mining: Repository vs. Canonical Form. [Citation Graph (, )][DBLP]


  41. Identification of neurons participating in cell assemblies. [Citation Graph (, )][DBLP]


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