• DocumentCode
    342587
  • Title

    Pattern-based inference approach for data mining

  • Author

    Sy, Bon K.

  • Author_Institution
    Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    727
  • Lastpage
    731
  • Abstract
    Information theory and statistical analysis are discussed as two fundamental conceptual tools for data mining. A data mining technique based on these two conceptual tools consists of three steps. The first step is a statistical approach for discovering data patterns. The second step is an information-theoretic approach for identifying models that encapsulate the statistical behavior of the data patterns. The last step is a probabilistic approach for pattern-based inference that predicts unknown significant event patterns
  • Keywords
    data mining; database theory; inference mechanisms; information theory; pattern recognition; statistical analysis; conceptual tools; data mining technique; data pattern discovery; event pattern prediction; information theory; model identification; pattern-based inference approach; probabilistic approach; statistical analysis; Computer science; Couplings; Data mining; Educational institutions; Electronic mail; Information theory; Mutual information; Random variables; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-5211-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1999.781789
  • Filename
    781789