An efficient CRM-data mining framework for the prediction of customer behaviour

Procedia Computer Science

Volumn 46, Issue , 2015, Pages 725-731

  Femina, Bahari T ^a   Sudheep, Elayidom M ^a  

^a Department of Physics   (India)

Author keywords

Classification; Customer relationship management; Data mining framework; Prediction

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLIMATE CHANGE; DECISION MAKING; FORECASTING; NEURAL NETWORKS; PUBLIC RELATIONS; SALES;

CLASSIFICATION MODELS; CRM APPLICATIONS; CUSTOMER BEHAVIOUR; CUSTOMER RELATIONSHIP MANAGEMENT; CUSTOMER RELATIONSHIPS; DATA MINING FRAMEWORKS; DECISION MAKING PROCESS;

DATA MINING;

EID: 84931302829     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.02.136     Document Type: Conference Paper

References (16)

1. Berson A, Smith S, Thearling K. Building data mining applications for CRM, McGraw-Hill; 2000.
2. Cortez P. Data Mining with Neural Networks and Support Vector Machines using the R/rminer Tool, In Proceedings of the 10th Industrial Conference on Data Mining, Germany: Springer; 2010. p. 572-583.
3. EWT Ngai. Customer relationship management research (1992-2002): An academic literature review and classification, Marketing Intelligence, Planning; 23, 2005. p. 582-605.
4. EWT Ngai, L Xiu, DCK. Chau. Application of Data Mining Techniques in Customer Relationship Management: A Literature Review on Classification, Expert Systems with Applications; 36-2, 2009. p. 2592-2602.
5. Hany AE. Bank Direct Marketing Analysis of Data Mining Techniques, International Journal of Computer Applications; 85-7, 2014.
6. JW Han M Kamber. Data mining concepts and techniques, 2nd ed. Morgan Kaufmann, San Francisco, CA; 2006.
7. Ling, R., Yen D. Customer relationship management: An analysis framework and implementation strategies, Journal of Computer Information Systems; 41, 2001. p. 82-97.
8. Mi tra S, Pal SK, Mitra P. Data mining in soft computing framework: A survey, IEEE Transactions on Neural Networks; 13, 2002. p. 3-14.
9. MJA Berry, GS Linoff, Data Mining Techniques: For marketing, Sales and Customer Relationship Management, Indianapolis: Wiley; 2004.
10. S Moro, P Cortez, P Rita. A data-driven approach to predict the success of bank telemarketing, Decision Support Systems; 62, 2014. p. 23-31.
11. S Moro, R Laureano, P Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology, Proceedings of the European Simulation and Modelling Conference; Portugal, 2011. p. 117-121.
12. Swift RS. Accelerating customer relationships: Using CRM and relationship technologies, N.J: Prentice Hall PTR; 2001
13. T Munkata. Fundamentals of new artificial intelligence, 2nd ed. London: Springer-Verlag; 2008.
14. Tom M Mitchell. Machine Learning, 2nd ed. McGraw Hill; 2010.
15. Turban E, Aronson JE, Liang T.P., Sharda R. Decision support and business intelligence systems, 8th ed. Pearson Education; 2007.
16. Witten I, Frank E. Data Mining - Practical Machine Learning Tools and Techniques, 2nd ed. USA: Elsevier; 2005.