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文章基本信息

  • 标题:Improved Inner Pattern Evolution Mechanism for AccurateandEfficient Text Mining
  • 本地全文:下载
  • 作者:Alfiya Sana ; Prateek Gupta
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:54-58
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:This paper presents an innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. For achieving the relevant output which is left due to less frequency, improved IPE has been suggested and proposed to be implemented in this work. The work has been implemented and tested for precision, recall and f-measure values and found to be better than the existing systems. A comparison has been made to prove the success of the proposed mechanism.
  • 关键词:Data Mining;Inner Pattern Evaluation;Association Rule Mining; Threshold Based Mining;Pattern Deploying;Pattern Evolving
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