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Frequent Pattern-Based Classification

  • H. Cheng, X. Yan, J. Han, and C.-W. Hsu, “Discriminative Frequent Pattern Analysis for Effective Classification”, ICDE'07
  • Accuracy issue
    • Increase the discriminative power
    • Increase the expressive power of the feature space
  • Scalability issue
    • It is computationally infeasible to generate all feature combinations and filter them with an information gain threshold
    • Efficient method (DDPMine: FPtree pruning): H. Cheng, X. Yan, J. Han, and P. S. Yu, "Direct Discriminative Pattern Mining for Effective Classification", ICDE'08

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