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- W2380885997 abstract "Frequent-Pattern Growth Algorithm(FP-Growth)is an association rules mining algorithm based on finding frequent itemsets.According to findings from actual applications,this algorothm need to find out all frequent itemsets.On this account the mining efficiency becomes low and it can not accommodate big date mining.So,on the basis of existing research,aparallel FP-Growth algorithm is presented to accommodate big date mining and improve the efficiency of original algorithm.Parallel computing model(SIMD-SM)and constraint rules are adopted in the new algorithm.The new algorithm can find out all frequent itemsets and can deal with mass data very well." @default.
- W2380885997 created "2016-06-24" @default.
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- W2380885997 date "2015-01-01" @default.
- W2380885997 modified "2023-09-23" @default.
- W2380885997 title "Parallel FP-Growth Algorithm Based on Constraint Rule" @default.
- W2380885997 hasPublicationYear "2015" @default.
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