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  • 标题:A New Model for Profitable Pattern Mining
  • 本地全文:下载
  • 作者:Jagrat Gupta ; Akhilesh Tiwari
  • 期刊名称:International Journal of Engineering Research
  • 印刷版ISSN:2319-6890
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:264-268
  • DOI:10.17950/ijer/v5s4/409
  • 出版社:IJER
  • 摘要:Profitable pattern mining is a captivating research area that accentuates to adjudicate the business objectives.One of the most prominent and unaddressed business objectives regarding this discussion is Profit.The research problem as well as the prominent objective behind this research paper is to extract profitable rules accurately, efficiently as well as in optimized manner. To accomplish the above objective, incorporation of rough set theory followed by conventional association rule mining algorithm and genetic based optimization is used in optimized and efficient manner. The proposed model overcomes the major findings to make model more beneficial for any business organization in the current scenario .
  • 关键词:Association rules; Data Mining; Genetic ; Algorithm; Market Basket Analysis; Profitable Pattern ; mining (PPM); Rough Set Theory (RST).
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