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  • 标题:A Survey On Different Association Classification Technique For Constructing Efficient Classifier
  • 本地全文:下载
  • 作者:S.P. Siddique Ibrahim ; M.Pavithra ; Dr. M. Sivabalakrishnan
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2017
  • 卷号:6
  • 期号:1
  • 页码:24-27
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Associative classification (AC) is a data miningapproach it’s a combination of both association rule andclassification to build classification models (classifiers).Morenumber of associative classification algorithms have beenstated such as Classification based Association (CBA),Classification based on Multiple Association Rules (CMAR),etc .This paper surveys major AC algorithms and compares thesteps and methods performed in each algorithm with CBA,CMAR and MCAR.
  • 关键词:associative classification; data mining;classification
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