Associative classification algorithm applied to the classification of Chinese SMS - 文章详情页

作者：

Cai, Y.-Q. (Cai, Y.-Q..) (学者：蔡永泉) | Jin, Y.-P. (Jin, Y.-P..) | Ge, A.-S. (Ge, A.-S..) | Zhao, K. (Zhao, K..)

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Scopus PKU CSCD

摘要：

The　short　messaging　service　(SMS)　spam　was　effectively　recognized　based　on　the　associative　classification　algorithm,　and　an　algorithm　called　ACW　was　proposed.　The　algorithm　generated　ordered　classification　rules　with　association　rules　mining　method　by　using　the　semantic　order　words.　In　the　experiments,　that　ACW　is　better　than　the　traditional　associative　classification　algorithm　in　the　territory　of　classification　of　SMS　is　demonstrated　in　this　paper.　©,　2015,　Beijing　University　of　Technology.　All　right　reserved.

关键词：

Associative classification; SMS spam recognition; Word order

作者机构：

[ 1 ] [Cai, Y.-Q.]College of Computer Science, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Jin, Y.-P.]College of Computer Science, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Ge, A.-S.]Lenovo Research & Technology Group, Lenovo Group Limited, Beijing, 100084, China
[ 4 ] [Zhao, K.]Lenovo Research & Technology Group, Lenovo Group Limited, Beijing, 100084, China

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