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文章基本信息

  • 标题:Intelligent Data Analysis Using Data Mining Techniques
  • 本地全文:下载
  • 作者:V.Ilango ; Dr.R.Subramanian ; Dr.V.Vasudevan
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:4
  • 页码:1420-1422
  • 出版社:TechScience Publications
  • 摘要:The power of modern computing technology makes data gathering and storage easier. This leads to create new range of problems and challenges for data analysis. In this study a proposed approach based on clustering techniques for outlier detection is presented. At first EM-Cluster algorithm is performed to identify the missing values through which small clusters are formed. Then univariate outlier detection method is applied to identify outliers. The proposed approach gave effective results within*{
  • 关键词:EM Cluster; Univariate outlier; Grubb test;Continuous variablesk.ng.r
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