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《Modern Electronics Technique》 2008-08
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Improvement for Feature Selecting from Text Mining

ZHU Haodong1,CAI Lecai1,LIU Zhongying2(1.Sichuan University of Science and Engineering,Zigong,643000,China;2.Xihua University,Chengdu,610036,China)  
In text mining,documents are usually mean with the form of the eigenvector.In order to enhance the operating speed and reduce the memory space occupied and filter out irrelevant or lower degree of features,an improved feature selection algorithm is presented.We comprehensively considered features,so features can be more effective and accurate selected.And the algorithm is verified exactly with the instance in this paper.
【CateGory Index】: TP301.6
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