Group RFM analysis as a novel framework to discover better customer consumption behavior

Author:

Chang Hui-Chu,Tsai Hsiao-Ping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference19 articles.

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2. Basu, S., Banerjee, A. & Mooney, R.J. (2004). Active semi-supervision for pairwise constrained clustering. In Proceedings of the SIAM international conference on data mining.

3. Classifying the segmentation of customer value via rfm model and rs theory;Cheng;Expert Systems with Applications,2009

4. Learning and teaching styles in engineering education;Felder;Engineerimg Education,1988

5. Ge, R., Jin, Wen, Ester, M. & Davidson, I. (2007). Constraint-driven clustering. In Proceedings of the 13th ACM KDD international conference on Knowledge discovery in data.

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