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  • 标题:A State of the Art Review on Various Data Mining Techniques
  • 本地全文:下载
  • 作者:S.Yamini ; Dr.V.Khanaa ; Dr.Krishna Mohantha
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:3
  • 页码:2802
  • DOI:10.15680/IJIRSET.2016.0503012
  • 出版社:S&S Publications
  • 摘要:Data Mining is a powerful technique with immense potential in any field of science and technology. It’sa useful tool to explore information within data which would be challenging to retrieve through queries and reports. Itreduces the traditional methods of data analogy which would consume more time. Data mining has a huge stake ofapplications in various fields. Yet it requires many research works and actions to begin with this field of study. It’s vitalthat one begins with steep understanding of the key concepts in mining. This paper aims at fulfilling that task byproviding a state of the art detailed review about various techniques and sub techniques involved in data mining and theallied techniques.
  • 关键词:Data Mining; Text classification; Clustering; Association etc…
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