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  • 标题:Text Classification Using Data Mining Techniques
  • 本地全文:下载
  • 作者:Aref Sayahi ; Mohammad Behrouzian Nejad ; Sayed Mohsen Hashemi
  • 期刊名称:International Journal of Computer Science and Network Solutions
  • 印刷版ISSN:2345-3397
  • 出版年度:2014
  • 卷号:2
  • 期号:6
  • 页码:12-17
  • 出版社:International Journal of Computer Science and Network Solutions
  • 摘要:Text classification is one of the importance text mining techniques. Text classification refers to assign theavailable text documents to the one or more pre-defined related classes. For text classification manytechniques have been presented. In this paper we propose an efficient classifier that classifies documentswith appropriate performance. According to performance of K-NN method; we use from three K-NNalgorithm as parallel Instead one classifier. This work can improve final performance of classification. Theresult shows that the method is effectiveness than single classifiers
  • 关键词:DataMining; TextMining; Text Classification; Feature Selection; Learning Algorithm
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