Ruihuan Geng

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Mutual Information algorithm for text feature selection usually tends to select the rare terms. In allusion to this limitation, this paper makes use of the term frequency, the coupling factor among classes and the cohesion degree inside a class to the MI algorithm, and proposes an improved MI approach based on TFCA-CI algorithm. The experimental result(More)
The defections of traditional support vector machine (for short SVM) are analyzed in the paper. According to the characteristics of grain information on the web, a multi-class classification method based on SVM decision tree (for short SVM-DT) is presented for grain information classification. Experiments prove that FI-Measure values for SVM-DT algorithm is(More)
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