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  • 标题:Analysing Uncertain Data by Building Decision Tree
  • 本地全文:下载
  • 作者:Megha Pimpalkar ; Garima Singh
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:3
  • 页码:10856-10858
  • 出版社:IJECS
  • 摘要:In data processing, Classification of objects supported their options into pre-defined classes could be a wide studieddownside with rigorous applications in fraud detection, computer science ways and lots of alternative fields. Among theassorted classification algorithms out there in literature the choice tree is one in every of the foremost sensible and effectiveways and uses inductive learning. during this paper we tend to reviewed numerous call treefor same dataset and that we arprimarily performing on the ID3 algorithmic rule
  • 关键词:Data mining; Decision Tree; Uncertain Data; Entropy
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