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Christopher J. Matheus: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. William J. Frawley, Gregory Piatetsky-Shapiro, Christopher J. Matheus
    Knowledge Discovery in Databases: An Overview. [Citation Graph (5, 0)][DBLP]
    AI Magazine, 1992, v:13, n:3, pp:57-70 [Journal]
  2. Christopher J. Matheus, Philip K. Chan, Gregory Piatetsky-Shapiro
    Systems for Knowledge Discovery in Databases. [Citation Graph (3, 13)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1993, v:5, n:6, pp:903-913 [Journal]
  3. Gregory Piatetsky-Shapiro, Christopher J. Matheus
    The Interingness of Deviations. [Citation Graph (1, 0)][DBLP]
    KDD Workshop, 1994, pp:25-36 [Conf]
  4. Gregory Piatetsky-Shapiro, Christopher J. Matheus, Padhraic Smyth, Ramasamy Uthurusamy
    KDD-93: Progress and Challenges in Knowledge Discovery in Databases. [Citation Graph (1, 0)][DBLP]
    AI Magazine, 1994, v:15, n:3, pp:77-82 [Journal]
  5. Christopher J. Matheus
    Adding Domain Knowledge to SBL Through Feature Construction. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:803-808 [Conf]
  6. Christopher J. Matheus
    The Need for Constructive Induction. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:173-177 [Conf]
  7. Richard S. Sutton, Christopher J. Matheus
    Learning Polynomial Functions by Feature Construction. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:208-212 [Conf]
  8. Christopher J. Matheus, Larry A. Rendell
    Constructive Induction On Decision Trees. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:645-650 [Conf]
  9. Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill
    An Application of KEFM to the Analysis of Healthcare Information. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:441-452 [Conf]
  10. Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus
    Iterative Construction of Sparse Polynomial Approximations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:1064-1071 [Conf]
  11. Christopher J. Matheus
    SWRLp: An XML-Based SWRL Presentation Syntax. [Citation Graph (0, 0)][DBLP]
    RuleML, 2004, pp:194-199 [Conf]
  12. Christopher J. Matheus, Kenneth Baclawski, Mieczyslaw M. Kokar, Jerzy Letkowski
    Using SWRL and OWL to Capture Domain Knowledge for a Situation Awareness Application Applied to a Supply Logistics Scenario. [Citation Graph (0, 0)][DBLP]
    RuleML, 2005, pp:130-144 [Conf]
  13. Christopher J. Matheus, Kenneth Baclawski, Mieczyslaw M. Kokar
    BaseVISor: A Triples-Based Inference Engine Outfitted to Process RuleML and R-Entailment Rules. [Citation Graph (0, 0)][DBLP]
    RuleML, 2006, pp:67-74 [Conf]
  14. Kenneth Baclawski, Christopher J. Matheus, Mieczyslaw M. Kokar, Jerzy Letkowski, Paul A. Kogut
    Towards a Symptom Ontology for Semantic Web Applications. [Citation Graph (0, 0)][DBLP]
    International Semantic Web Conference, 2004, pp:650-667 [Conf]
  15. Christopher J. Matheus, Mieczyslaw M. Kokar, Kenneth Baclawski, Jerzy Letkowski
    Constructing RuleML-Based Domain Theories on Top of OWL Ontologies. [Citation Graph (0, 0)][DBLP]
    RuleML, 2003, pp:81-94 [Conf]
  16. Christopher J. Matheus, Mieczyslaw M. Kokar, Kenneth Baclawski, Jerzy Letkowski
    An Application of Semantic Web Technologies to Situation Awareness. [Citation Graph (0, 0)][DBLP]
    International Semantic Web Conference, 2005, pp:944-958 [Conf]
  17. Christopher J. Matheus
    Position Paper: Using Ontology-based Rules for Situation Awareness and Information Fusion. [Citation Graph (0, 0)][DBLP]
    Rule Languages for Interoperability, 2005, pp:- [Conf]
  18. Christopher J. Matheus, William E. Hohensee
    Learning in artificial neural systems. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1987, v:3, n:, pp:283-294 [Journal]
  19. Richard Brandau, Tony Confrey, Alin D'Silva, Christopher J. Matheus, Robert Weihmayer
    Reinventing GTE with Information Technology. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1999, v:32, n:3, pp:50-58 [Journal]

  20. A Demonstration of Formal Policy Reasoning Using an Extended Version of BaseVISor. [Citation Graph (, )][DBLP]


  21. Detection of Suspicious Activity Using Different Rule Engines - Comparison of BaseVISor, Jena and Jess Rule Engines. [Citation Graph (, )][DBLP]


  22. Wireless usage analysis for capacity planning and beyond: a data warehouse approach. [Citation Graph (, )][DBLP]


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