A Web Text Classification Rules Extraction Algorithm
作者： He Liu , Dayou Liu , Xiaohu Shi
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摘要: Text classification is a very important technique for gathering Web information. A novel approach based on multi-population collaborative optimization proposed the extraction of text rules. The information entropy was applied initialization populations and evolution populations. method to three benchmark test sets examine its effectiveness. Results show that precision higher those existing methods, cost computation less than methods. Furthermore, rules obtained by are simple compared with
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