Open Access Open Access  Restricted Access Subscription or Fee Access

A Systematic Mapping Study on Customer Churn Analysis

Zafar Mahmood, Mian Muhammad, Muddesar Iqbal, Muhammad Ali

Abstract


In telecommunication sector different data mining technologies are used to analyze the customer data. Data mining technologies are concerned to understand the behavior of customer of Telecommunication Company that is not interested in their services and move his bossiness to another competitor company, and using some statics measurement to show and predicating the likelihood of this event to occur. This systematic mapping review present an overview of different paper related to churn analysis published in different conferences, journals and symposium. Another outcome of the mapping study will be to outline which type of research has conducted by different researcher to address the churn analysis. In last the different techniques used for churn analysis will be presented in graph. We believe that findings of this mapping study will help the researcher to identify the most prominent technique to address the churner and different research methods to use these techniques.


Keywords


Data Mining, Churn Analysis, Systematic Mapping Study

Full Text:

PDF

References


Bigus J. P. “Data mining with neural network” McGraw-Hill Dalkalaki S. “ Data mining for decision support on customer insolvency in telecommunication businesses” 2002 URL: www.elsevier.com/locate/dsw.

Khalida b. O, Sunarti b. M. S, Norazrina A. H., Faizin b. A. B., 2010, “Data Mining in Churn Analysis Model for Telecommunication Industry”, Journal of Statistical Modeling and Analytics .

Buckinx W., Verstraeten G., Van den Poel D, 2005, “Predicting customer loyalty using the internal transactional database”, Expert Systems with Applications 2010.

MO Z., ZHOA S., LI L., LIU A.J, 2007, “A Predictive Model of Churn in Telecommunications Based on Data Mining:, IEEE International Conference on Control and Automation, Guangzhou, China.

Rahul J, Usharani T, “Churn Prediction in Telecommunication Using Data Mining Technology” (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No.2, February 2011.

Junxiang L, “Predicting Customer Churn in the Telecommunications Industry –– An Application of Survival Analysis Modeling Using SASA”, SUGI Data mining techniques, 2009. Overland Park Sprint Communications Company, Kansas.

Allison, P. D., “Survival Analysis Using the SAS_System: A Practical Guide, Cary, NC, SAS Institute Inc.1995. 292pp

Pretorius R, Budgen D, “A mapping study on empirical evidence related to the models and forms used in the uml”, Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, ESEM, October 9-10, 2008, Kaiserslautern, Germany, pp. 342-344.

J. Bailey, D. Budgen, M. Turner, B. Kitchenham, P. Brereton, S. Linkman, "Evidence relating to Object-Oriented software design: A survey," First International Symposium on Empirical Software Engineering and Measurement (ESEM), 2007, pp.482-484.

Nelly Condori-Fernandez, Maya Daneva, Klaas Sikkel, Roel Wieringa, Oscar Dieste, Oscar Pastor, “A Systematic Mapping Study on Empirical Evaluation of Software Requirements Specifications Techniques”, Third International Symposium on Empirical Software Engineering and Measurement, 2009 pp 502-505

Sadia J., Sidrah J. “Churn management in the telecom industry of Pakistan: A comparative study of Ufone and Telenor”, Journal of Database Marketing & Customer Strategy Management (2007) 14, 120–129. doi:10.1057/palgrave.dbm.3250043

Nelly C-F., Maya D., Klaas S., Roel W., Oscar D., Oscar P.or, “A Systematic Mapping Study on Empirical Evaluation of Software Requirements Specifications Techniques”, Third International Symposiumm on Empirical Software Engineering and Measurement, 978-1-4244-4841-8/09/$25.00 ©2009 IEEE

Davis A. M., Dieste Ó., A. M. Hickey, N Juristo, A. Moreno, “Effectiveness of Requirements Elicitation Techniques: Empirical Results Derived from a Systematic Review”. 14th International Conference on Requirements Engineering (RE 2006), IEEE Computer Society, 11-15 September 2006, Minneapolis, USA, pp. 176-185.

Paulo A. d., Ivan do C. M., John D. M., Eduardo S. de A., Silvio R. de L. M., “A systematic mapping study of software product lines testing”, Information and Software Technology 53 (2011) 407–423

Afzal W., Torkar R., Feldt R., “A systematic review of search-based testing for non-functional system properties”, Information and Software Technology 51 (6) (2009) 957–976.

Brereton. P., Kitchenham B.A., Budgen D., M. Turner, Khalil M., “Lessons from applying the systematic literature review process within the software engineering domain”, Journal of Systems and Software 80 (4) (2007) 571–583.

E.D. Souza Filho, R. Oliveira Cavalcanti, D.F. Neiva, T.H. Oliveira, L.B. Lisboa, E.S. Almeida, S.R. Lemos Meira, “Evaluating domain design approaches using systematic review”, in: ECSA ’08: Proceedings of the 2nd European conference on Software Architecture, Berlin, Heidelberg, 2008, pp. 50–65.

K. Petersen, R. Feldt, S. Mujtaba, M. Mattsson, “Systematic mapping studies in software engineering”, in: EASE ’08: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering, University of Bari, Italy, 2008.


Refbacks

  • There are currently no refbacks.