Optimized RFV analysis

Author:

Juarez Alencar Antonio,Martins Ribeiro Eduardo,Leite Ferreira Armando,Assis Schmitz Eber,Lima Priscila M.V.,Silva Pereira Manso Fernando

Publisher

Emerald

Subject

Marketing

Reference13 articles.

1. Ansari, S., Kohavi, R., Mason, L. and Zheng, Z. (2000), “Integrating e‐commerce and data mining: architecture and challenges”, Proceedings of WEBKDD'2000 – Web Mining for ECommerce: Challenges and Opportunities, Boston, MA.

2. Bayesian neural network learning for repeat purchase modelling in direct marketing

3. The self-organizing map

4. Lenser, J.F. (2002), “Gimme an R. Gimme and F. Gimme an M.”, Catalog Age, 1 June, pp. 53‐4.

5. Application of RFM principles: What to do with 1–1–1 customers?

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2. An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis;Applied Soft Computing;2010-01

3. Customer Value in an All-Inclusive Travel Vacation Club: An Application of the RFM Framework;Journal of Hospitality & Leisure Marketing;2008-05-05

4. A honeybee-mating approach for cluster analysis;The International Journal of Advanced Manufacturing Technology;2007-08-14

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