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- W2377731241 abstract "In this paper, the concept of attribute reduction and its functionality in the theory of rough sets is analyzed first. Then a concept of e-approximate attribute reduction is introduced and an algorithm for findingan e-approximate reduct is presented. It turns out that using the e-approximate attribute reduction instead of the traditional attribute reduction may help to enhance the efficiency of data enrichment and at the same time to extract simpler and more concise approximate decision rules from a given information table. At the end of the paper, a practical example is given to show the advantages of the e-approximate attribute reduction." @default.
- W2377731241 created "2016-06-24" @default.
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- W2377731241 date "2003-01-01" @default.
- W2377731241 modified "2023-09-26" @default.
- W2377731241 title "Data enrichment and rule extraction based on approximate attribute reduction in the context of rough sets" @default.
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