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- W2390552010 abstract "Mining transaction database for association rules usually generates a large number of rules,most of which are unnecessary when used for subsequent prediction and discovery of key data.In this paper,a particular set called the minimal prediction rule set,is mined using the divide-and-conquer strategy and the FP-tree of frequent closet item sets.It is smaller than the association rule set,but has the same ability of prediction and discovery of key data.In this paper,the algorithm of the minimal prediction rule set is given,and its effectiveness is proved in theory." @default.
- W2390552010 created "2016-06-24" @default.
- W2390552010 creator A5015714457 @default.
- W2390552010 date "2006-01-01" @default.
- W2390552010 modified "2023-09-23" @default.
- W2390552010 title "A New Algorithm for Mining the Minimal Prediction Rule Set Based on FP-tree" @default.
- W2390552010 hasPublicationYear "2006" @default.
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