文章基本信息

标题：Evaluation of Knowledge Extraction Using Various Classification Data Mining Techniques
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作者：Shabia Shabir Khan ; Mushtaq Ahmed Peer
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：The advantageous tool of data mining used to extract the nuggets of knowledge from a database / data warehouse [1] has gained a lot of attention from the research and commercial field. This paper presents evaluation of various classification data mining algorithms using WEKA (Waikato Environment for Knowledge Analysis) and concentrates on the values of certain important evaluation measures. In Section III and IV, we have performed evaluation experiment on the basic data mining algorithms using WEKA. In addition to this, comparative study has been recorded in section V as detailed in conclusion.
关键词：Data Mining; Data warehouse; Classification Technique; Evaluation Measures