RFM Analysis as a Part of DMAIC Phases
Data Mining methods provide a lot of opportunities in the market sector. This paper deals with Data Mining algorithms and methods (especially RFM analysis) and their use in Six Sigma methodology, especially in DMAIC phases. DMAIC stands for Define, Measure, Analyze, Improve and Control. Our research is focused on improvement of Six Sigma phases (DMAIC phases). With implementation of RFM analysis (as a part of Data Mining) to Six Sigma (to one of its phase), we can improve the results and change the Sigma performance level of the process. We used C5.0, QUES, CHAID and Neural Network algorithms. The results are in proposal of selected Data Mining methods into DMAIC phases.
Data Mining DMAIC RFM Six Sigma
Andrej Trnka
Department of Applied Informatics University of SS. Cyril and Methodius Trnava, Slovak republic
国际会议
2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)
三亚
英文
278-281
2011-03-25（万方平台首次上网日期，不代表论文的发表时间）