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- W2354852595 abstract "Multi-valued and multi-labeled classifier(MMC)and multi-valued and multi-labeled decision tree(MMDT)are two existing decision tree algorithms for dealing with multi-valued and multi- labeled data.Based on the two algorithms,formula sim_3 is put forward to calculate the similarity between two label sets.By amending the measuring formula of same-based similarity of label-sets in MMDT,a new decision tree algorithm,similarity of same and consistent in constructing same in predicting(SCC_SP)is proposed with comprehensive consideration of both similarity and appropriateness of the label set.Results of contrast experiments with the same prediction mechanism show that SCC_SP has higher accuracy rate than MMDT." @default.
- W2354852595 created "2016-06-24" @default.
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- W2354852595 date "2007-01-01" @default.
- W2354852595 modified "2023-09-25" @default.
- W2354852595 title "A Multi-Valued Attribute and Multi-Labeled Data Decision Tree Algorithm" @default.
- W2354852595 hasPublicationYear "2007" @default.
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