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文章基本信息

  • 标题:Hybrid predefined Searching
  • 本地全文:下载
  • 作者:Mohammed Adam Taheir Mohammed ; Wan Maseri Binti Wan Mohd ; Ruzaini Bin Abdullah Arshah
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2013
  • 卷号:2
  • 期号:12
  • 页码:3158-3162
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:This paper for easy expanding tools for user satisfactions. Some user finds their information retrieval in minimum expanding which save their time and improved the search quality. It maintain the extractions by easy expanding which are mine the users guessing, these suggestions are made in terms of minimum and maximum expanding based on predefined support and confidence. This study has efficient reduction which mine large data set based on rang of expanding which are handle the search response time by these navigations. It perform the functions of knowledge extraction which are retrieves based on tools taking this fact into account and after reviewing several knowledge. As part of this proposal, a minimum predefined reduction algorithm. The conclusion part which shows better alternative result through our model. Keywords: Boolean-valued information system;
  • 关键词:reductions; Parameters ; reductions ;Knowledge Management
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