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- W2373065315 abstract "Association rules mining is an important research topic in data mining area,which has been successfully applied to the commercial domains.For this reason,many approaches have been proposed to mine association rules,but large numbers of association rules,which are only the positive-item rules and include a lot of no use rules,are gotten from them.In the article,it puts forward an improved algorithm on the basis of the FP-Growth algorithm.By the interest degree of the new algorithm,some useful and negative-item-contained rules can be found.Finally,the algorithm is evaluated and is analyzed through experiments and practices." @default.
- W2373065315 created "2016-06-24" @default.
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- W2373065315 date "2008-01-01" @default.
- W2373065315 modified "2023-09-28" @default.
- W2373065315 title "A Improved Algorithm Based on Interest Degree for FP-Growth" @default.
- W2373065315 hasPublicationYear "2008" @default.
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