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  • 标题:Clustering of data for multigroup using ID3 algorithm and CMean algorithm
  • 本地全文:下载
  • 作者:Nishant Dhiman ; Abhishek Tyagi
  • 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:2013
  • 卷号:2
  • 期号:5
  • 页码:1757
  • 出版社:S&S Publications
  • 摘要:Data mining is the useful tool to discovering the knowledge from large database. For this we requireproper classification methods & algorithms. In this paper, we are talking about the soil erection problem which can beremoved with the help of proper clustering. C MEAN algorithm is one of the best techniques we have ever seen in datamining over a cluster but the problem with C MEAN is that, it lacks when you either use a very big data set or a smalldataset. Hence in our research work, we will be implementing the ID3 ALGORITHM and will the check the accuracyterms with the C MEAN algorithm. Now our problem is to create a new group to check out whether the implementedalgorithms can make any change in the accuracy if we increase the privacy level or not. The result of research tells usabout the soil belongs to a fertilizing group.
  • 关键词:Data mining; classification algorithms; soil erection
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