Abstract:Itemset mining methods are techniques to discover relevant patterns in transactional databases. The first approach, called constrained-based pattern mining, is based on exhaustive pattern mining techniques which consist in returning all itemsets that satisfy a given constraint. The main issues that hinder their efficiency are the pattern explosion and the difficulty for a user to set the threshold value. To solve this problem, methods that return the most interesting patterns, called top-k, are also proposed, … Show more
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