Mining probabilistic frequent closed itemsets in uncertain databases

  • Authors:
  • Peiyi Tang;Erich A. Peterson

  • Affiliations:
  • University of Arkansas at Little Rock, Little Rock, AR;University of Arkansas at Little Rock, Little Rock, AR

  • Venue:
  • Proceedings of the 49th Annual Southeast Regional Conference
  • Year:
  • 2011

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Abstract

This paper defines probabilistic support and probabilistic frequent closed itemsets in uncertain databases for the first time. It also proposes a probabilistic frequent closed itemset mining (PFCIM) algorithm to mine probabilistic frequent closed itemsets from uncertain databases.