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Apriori: A Candidate Generation & Test Approach

  • Apriori pruning principle: If there is any itemset which is infrequent, its superset should not be generated/tested! (Agrawal & Srikant @VLDB’94, Mannila, et al. @ KDD’ 94)
  • Method:
    • Initially, scan DB once to get frequent 1-itemset
    • Generate length (k+1) candidate itemsets from length k frequent itemsets
    • Test the candidates against DB
    • Terminate when no frequent or candidate set can be generated

Speaker notes:

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