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.
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.
出处
《信阳师范学院学报（自然科学版）》
CAS
北大核心
2015年第3期450-453,共4页
Journal of Xinyang Normal University(Natural Science Edition)
基金
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(GD14YXW02)
关键词
聚类
离群点检测
特征选择
抽样
功能缺陷
clustering
anomaly detection
feature selection
sampling
function defect
