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文章基本信息

  • 标题:Novel Approach to Discover Effective Patterns For Text Mining
  • 本地全文:下载
  • 作者:Rujuta Taware ; Sanchika A. Bajpai
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:2
  • 页码:444-448
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Many data processing techniques are proposed for mining helpful patterns in text documents. However, how to effectively use and update those discovered patterns remains an open analysis issue, particularly within the domain of text mining. The majority existing text mining ways adopted term-based approaches; all of them suffer from the issues of ambiguity and synonymousness. This paper presents innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of victimization and change discovered patterns for locating relevant and attention- grabbing data.
  • 关键词:Text Mining; Pattern Mining; Pattern ; Taxonomy; Pattern Evolution
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