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Summary

  • Basic concepts: association rules, support-confident framework, closed and max-patterns
  • Scalable frequent pattern mining methods
    • Apriori (Candidate generation & test)
    • Projection-based (FPgrowth, CLOSET+, ...)
    • Vertical format approach (ECLAT, CHARM, ...)
  • Which patterns are interesting?
    • Pattern evaluation methods

Speaker notes:

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