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Jan Rauch: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Petr Hájek, Martin Holena, Jan Rauch
    The GUHA Method and Foundations of (Relational) Data Mining. [Citation Graph (0, 0)][DBLP]
    Theory and Applications of Relational Structures as Knowledge Instruments, 2003, pp:17-37 [Conf]
  2. Patrik Eklund, Johan Karlsson, Jan Rauch, Milan Simunek
    On the Logic of Medical Decision Support. [Citation Graph (0, 0)][DBLP]
    Theory and Applications of Relational Structures as Knowledge Instruments, 2006, pp:50-59 [Conf]
  3. Jan Rauch
    Deduction in Logic of Association Rules. [Citation Graph (0, 0)][DBLP]
    ASIAN, 1999, pp:386-387 [Conf]
  4. Petr Hájek, Jan Rauch, David Coufal, Thomas Feglar
    The GUHA Method, Data Preprocessing and Mining. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:135-153 [Conf]
  5. Jan Rauch
    Four-Fold Table Calculi for Discovery Science. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:405-406 [Conf]
  6. Jan Rauch, Milan Simunek
    Mining for 4ft Association Rules. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2000, pp:268-272 [Conf]
  7. Vojtech Svátek, Jan Rauch, Martin Ralbovský
    Ontology-Enhanced Association Mining. [Citation Graph (0, 0)][DBLP]
    EWMF/KDO, 2005, pp:163-179 [Conf]
  8. Jan Rauch
    Many Sorted Observational Calculi for Multi-Relational Data Mining. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:417-422 [Conf]
  9. Petr Strossa, Jan Rauch
    Converting Association Rules into Natural Language - an Attempt. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:383-392 [Conf]
  10. Jan Rauch, Milan Simunek
    Mining for Association Rules by 4ft-Miner. [Citation Graph (0, 0)][DBLP]
    INAP, 2001, pp:285-295 [Conf]
  11. Vaclav Lin, Jan Rauch, Vojtech Svátek
    Mining and Querying in Association Rule Discovery. [Citation Graph (0, 0)][DBLP]
    KDID, 2002, pp:97-98 [Conf]
  12. Petr Hájek, Jan Rauch
    Logics and Statistics for Association Rules and Beyond Abstract of Tutorial. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:586-587 [Conf]
  13. Jan Rauch
    Logical Calculi for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:47-57 [Conf]
  14. Jan Rauch
    Classes of Four-Fold Table Quantifiers. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:203-211 [Conf]
  15. Vaclav Lin, Jan Rauch, Vojtech Svátek
    Content-based Retrieval of Analytical Reports. [Citation Graph (0, 0)][DBLP]
    RuleML, 2002, pp:- [Conf]
  16. Tomás Karban, Jan Rauch, Milan Simunek
    SDS-rules and association rules. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:520-524 [Conf]
  17. Jan Rauch, Milan Simunek
    GUHA method and granular computing. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:630-635 [Conf]
  18. Jan Rauch
    Logic of Association Rules. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:22, n:1, pp:9-28 [Journal]
  19. Jan Rauch
    Main Problems and Further Possibilities of the Computer Realization of GUHA Procedures. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1981, v:15, n:3, pp:283-287 [Journal]

  20. Meta-learning for Post-processing of Association Rules. [Citation Graph (, )][DBLP]


  21. Remarks to Logical Aspects of Measures of Interestingness of Association Rules. [Citation Graph (, )][DBLP]


  22. Project SEWEBAR Considerations on Semantic Web and Data Mining. [Citation Graph (, )][DBLP]


  23. LAREDAM - Considerations on System of Local Analytical Reports from Data Mining. [Citation Graph (, )][DBLP]


  24. Action Rules and the GUHA Method: Preliminary Considerations and Results. [Citation Graph (, )][DBLP]


  25. Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations. [Citation Graph (, )][DBLP]


  26. Observational Calculi, Classes of Association Rules and F-property. [Citation Graph (, )][DBLP]


  27. Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain. [Citation Graph (, )][DBLP]


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