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- W2363737644 abstract "The effective mining frequent item sets is key problem in mining maximal frequent item sets. In order to overcome insufficiency of the Apriori algorithm on the mining maximal frequent item sets,and shortcoming of FP-Tree memory structure algorithm need many times traversal. This article has introduced an array technique,reduce the FP-Tree traversal time on mining frequent item sets so that the method can be sped up. And proposes by this based on the FP-Tree improvement algorithm FPgrowth* and FPmax*.Experimental results show that an array technique introduction enhancement two algorithms effective and efficient." @default.
- W2363737644 created "2016-06-24" @default.
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- W2363737644 date "2006-01-01" @default.
- W2363737644 modified "2023-09-27" @default.
- W2363737644 title "Efficiently Mining of Frequent Item Sets Algorithm" @default.
- W2363737644 hasPublicationYear "2006" @default.
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