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文章基本信息

  • 标题:Knapsack based ACCS Information Retrieval Framework for Bio-Medical Literature using Similarity based Clustering Approach
  • 本地全文:下载
  • 作者:K.Latha ; S.Archana ; R.John Regies
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2007
  • 卷号:3
  • 期号:2
  • 页码:65-71
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper investigates the effect of convergence of the documents in the same cluster which degrades the performance of the SA and Proposed knapsack. For this purpose, we have introduced a dynamic cluster selection mechanism of ACCS which enhances the performance.
  • 关键词:Medline ; Heuristics ; Artificial Intelligence
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