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A lot of existing algorithms used for mining association rules identify frequent itemsets by the method of bottom-up combination of smaller frequent itemsets or top-down decomposing of larger infrequent itemsets, these methods result the large volumes of candidate itemsets. Actually as the supersets of infrequent items are infrequent itemsets, this paper presents a new efficient method, namely pruning-classification...
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