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Typical Associative Classification Methods

  • CBA (Classification Based on Associations: Liu, Hsu & Ma, KDD’98)
    • Mine possible association rules in the form of
      • Cond-set (a set of attribute-value pairs) → class label
    • Build classifier: Organize rules according to decreasing precedence based on confidence and then support
  • CMAR (Classification based on Multiple Association Rules: Li, Han, Pei, ICDM’01)
    • Classification: Statistical analysis on multiple rules
  • CPAR (Classification based on Predictive Association Rules: Yin & Han, SDM’03)
    • Generation of predictive rules (FOIL-like analysis) but allow covered rules to retain with reduced weight
    • Prediction using best k rules
    • High efficiency, accuracy similar to CMAR

Speaker notes:

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