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Clementine软件功能缺陷分析
引用本文:张钰莎,蒋盛益.Clementine软件功能缺陷分析[J].信阳师范学院学报(自然科学版),2015(3):450-453.
作者姓名:张钰莎  蒋盛益
作者单位:1. 广东外语外贸大学南国商学院,广东广州510545; 华南师范大学计算机学院,广东广州510631
2. 广东外语外贸大学思科信息学院,广东广州,510420
基金项目:国家自然科学基金项目(61272067);广东省哲学社会科学“十二五”规划项目
摘    要:Clementine是有效的数据挖掘工具之一,能快速建立模型应用于商业活动的辅助决策,目前已得到了广泛的应用.通过理论和实例数据分析,具体指出Clementine软件中离群点检测、特征选择、抽样等节点预测结果存在很大的缺陷,效果并不理想.

关 键 词:聚类  离群点检测  特征选择  抽样  功能缺陷

Function Defect Analyses of Clementine Software
Zhang Yusha,Jiang Shengyi.Function Defect Analyses of Clementine Software[J].Journal of Xinyang Teachers College(Natural Science Edition),2015(3):450-453.
Authors:Zhang Yusha  Jiang Shengyi
Institution:,South China Business College,Guangdong University of Foreign Studies,School of Computer,South China Normal University,Cisco School of Informatics,Guangdong University of Foreign Studies
Abstract:Clementine is one of the effective data mining tool. It can quickly build model applied to the business activities of the auxiliary decision-making. Clementine has been widely used at present. Through theory and examples data analyses,it was pointed out that the Clementine software had a lot of defects in the predict result of detecting outliers,feature selection,sampling node and the effect is not ideal.
Keywords:clustering  anomaly detection  feature selection  sampling  function defect
本文献已被 CNKI 等数据库收录!
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