Mining frequent item sets by opportunistic projection

Abstract

In this paper, we present a novel algorithm Opportune Project for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm is fundamentally different from those proposed in the past in that it opportunistically chooses between two different structures, array-based or tree-based, to represent projected… (More)
DOI: 10.1145/775047.775081

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