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  • 标题:AN ENHNACED HIGH UTILITY PATTERN APPROACH FOR MINING ITEMSETS
  • 本地全文:下载
  • 作者:P.Sharmila ; Dr. S.Meenakshi
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2018
  • 卷号:7
  • 期号:1
  • 页码:39-44
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Data mining is used to discover interestingand useful knowledge from massive data. Findinginteresting patterns play an important role in knowledgediscovery process and are essential for many real lifeapplications. Recently high utility pattern mining isimportant for mining high utility itemsets whichovercomes the limitation of frequent pattern mining.High utility pattern mining is used to identify the itemsetswith highest utilities, by considering profit, quantity, costor other user preferences. This research paper proposesan enhanced high utility pattern approach to mine thehigh utility itemsets with less computation time and lessmemory space when larger itemsets are explored forcomplex datasets.
  • 关键词:Data mining; frequent patterns; high utility;pattern mining; high utility pattern mining algorithm;high utility itemset mining performance.
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