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  • 标题:A Data Mining Approach for Saving Service Selection
  • 本地全文:下载
  • 作者:Richa Sapra ; Sheveta ; Mandeep Singh
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:3
  • 页码:1105-1109
  • 出版社:Technopark Publications
  • 摘要:Savings were available for use whenever needed, but it also involved the risk of loss by theft, robbery and other accidents. One can invest the money after consulting the post office employees or going through the features of the available saving services. But most of the clients face the problem of selecting the best saving service for investment of their money as number of saving services exist. Moreover, it is a time consuming process to select one of the best saving service by the use of traditional method. Various data mining techniques can be applied to develop such a method for selecting the best saving service. This paper presents an application on which data mining technique have been applied for clustering and classification
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