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文章基本信息

  • 标题:Algorithm to handle Concept Drifting in Data Stream Mining
  • 本地全文:下载
  • 作者:Ms. Snehlata Dongre ; Dr. Latesh Malik
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2013
  • 卷号:2
  • 期号:1
  • 出版社:IJCSN publisher
  • 摘要:Data Stream Mining is the evolving field of research. Miningcontinuous data streams brings unique opportunities but also newchallenges. This paper will describe and evaluate the proposedclassifier which uses ensemble classifier along with the boostingconcept. Adaptive windowing is also used for handling the datastream. Empirical study will show that the proposed classifiertakes less memory, less time, gives the good accuracy alsohandles the concept drift
  • 关键词:Data Stream Mining; Concept Drift; Classification;Ensemble Classifier
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