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A Tight Upper Bound on the Number of Candidate Patterns
- A tight upper bound on the number of candidate patterns Floris Geerts, Bart Goethals, Jan Van den
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Feasible Itemset Distributions in Data Mining:
- addressed. In a seminal work on applying bounds, Goethals et. al. [8] gave a tight upper bound on the number
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