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76 2008 , 44 ( 19 ) Computer Engineering and Applications 计算机工程与应用WEKA 数据挖掘平台及其二次开发陈慧萍 1, 林莉莉 1, 王建东 2, 苗新蕊 1CHEN Hui- ping1, LIN Li- li1, WANG Jian- dong2, MIAO Xin- rui11. 河海大学 计算机信息工程学院, 江苏 常州 2130222. 南京航空航天大学 信息学院, 南京 2100161.Computer & Information Engineering College, Hohai University, Changzhou , Jiangsu 213022 , China2.College of Information Science & Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 , ChinaE- mail: chenhp@webmail.hhuc.edu.cnCHEN Hui- ping , LIN Li- li, WANG J ian- dong , et al.Data mining platfor m - WEKA and secondar y development on WE-KA.Computer Engineer ing and Applications, 2008 , 44 19) : 76- 79. (Abstr act : The paper does some tests about data mining on WEKA which is an open source data mining tool, and analyzes thetest results and indicates the problems of the WEKA system.In order to overcome the weakness of clustering in the WEKAsystem, the paper makes secondary development under the WEKA platform to extend the clustering algorithms.The paperintroduces the process of embedding the k- medoids substitution method into the WEKA in which the classes and visualizationfunctions of open source WEKA are fully utilized.The paper makes comparison between the embedded algorithm and initialalgorithm.The k - medoids substitution method improves the accuracy on the traditional k - medoids method, preventing it fromgetting into partial optimal solution.Moreover, this method is insensitive to the initial points, with obtaining better clustering results.Key wor ds: data mining; WEKA platform; clustering; k- medoids substitution algorithm摘 要: 在开源数据挖掘平台 WEKA 上进行了挖掘测试和分析, 并分析了其存在的主要问题。
为了克服 WEKA 系统在聚类方面的薄弱性, 在 WEKA 的开源环