Using Modified CHI Square and Rough Set for Text Categorization with Many Redundant Features

Text categorization is a key problem of text mining. Although there are many research on this problem, the main works are focused on classification of big categories. There are very few researches on text categorization problems characterised by many redundant features. We call this kind of problem...

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Bibliographische Detailangaben

Hauptverfasser:	Liuling Dai, Jinwu Hu, WanChun Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Competitive intelligence Computational intelligence Computer science feature selection Information retrieval Information technology Laboratories Machine learning algorithms Partial response channels rough set Support vector machines SVM Text categorization
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