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  • 标题:Performance Appraisal Of KDD Technique In Shopping Complex Dataset
  • 本地全文:下载
  • 作者:Dr. K.Kavitha
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:16172-16175
  • DOI:10.18535/ijecs/v5i4.20
  • 出版社:IJECS
  • 摘要:KDD field is concerned with the development of methods and techniques for making raw data into useful information. Real worldpractical application issues are also outlined. The basic assumption in predicting financial markets is that it is not possible. This is consistentwith remarks many financial professionals have made. In this survey, lot of information from the customer and vendors of shopping mall iscollected. Vendors are needed to extract the required combination of customers. To find out the solution of this automatic researchapplication to improve the business strategy is undertaken. This paper highlights the concepts, review the status and limitations
  • 关键词:KDD; Association Rule; Confidence; Support; Threshold
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