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- W2391763359 abstract "In practice,many documents need to be accurately classified into multiple hierarchies.This paper intended to introduce a method of hierarchical classify,which was based on multiple feature selection and multiple classifiers.It was to evaluate the experimental result of single classifier using the reliability function,to classify the documents that were hard to be classified by voting.Auxiliary classifier should be used if required.The experiments show that the method used has better accuracy and cost less time on both flat classification and hierarchical classification corpuses.It has a good vision of applications." @default.
- W2391763359 created "2016-06-24" @default.
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- W2391763359 date "2009-01-01" @default.
- W2391763359 modified "2023-09-26" @default.
- W2391763359 title "Research on hierarchical text categorization using approach of multiple feature selection and multiple classifier fusion" @default.
- W2391763359 hasPublicationYear "2009" @default.
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