A Comprehensive Evaluation Model and Its Empirical Analysis Based on CCA Method and SAS Software

摘要：

Two models are developed based on Canonical Correlation Analysis (CCA). One is the comprehensive evaluation model and the other is the predictive model. The complementation of CCA is by coding programs in the SAS software. Using sample data, both the comprehensive evaluation index of customer satisfaction and communication technology quality are found, significant linear correlation between them is detected, and the correlations between user satisfaction indicators and communication quality factors are discovered. The authors make a detailed explanation for modeling process via vertical and horizontal analysis. Experimental results show that the calculations on the regression equations are efficient and feasible.

关键词： CCA SAS software data mining comprehensive evaluation

作者: Tian Tian Tian Dongfeng Yu Xin

作者单位: Institute of Information Engineering China University of Geosciences Beijing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)

会议地点: 三亚

会议语种:英文

页码: 205-208

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）