References
- Akamal M., Factor Causing Customer Churn: A Qualitative Explanation Of Customer Churns In Pakistan, Capital University of Science & Tehnology, Islamabad, 2017.
- Cabrera, A. F. (1994). Logistic regression analysis in higher education: An applied perspective, Higher Education: Handbook of Theory and Research, Vol. 10, 225–256.
- Essam Shaaban, Aboul Ella Hassanien, Churn Prediction Retention Framework, International Journal of Advances in Computer Science & Its Applications, Volume 6 : Issue 1, ISSN 2250-3765, 2016.
- Essam Shaaban, Yehia Helmy, Ayman Khedr, Mona Nasr, A Proposed Churn Prediction Model, International Journal of Engineering Research and Applications (IJERA), 2012.
- Lejeune M., Measuring the impact of data mining on Churn Management, 2001.10.1108/10662240110410183
- Maer Matei M. M., Dumitrache A., Churn analysis in a Romanian telecommunications company, The 17th International Conference on Informatics in Economy Education, Research and Business Technologies, Iași, România, 17-20 Mai, http://www.conferenceie.ase.ro/.
- Michael J. A. Berry, Gordon S. Linoff, Data Mining Techniques: For Marketing, Sales and Customer Relationship Management, Wiley Publishing, Indidana, 2004.
- Thamsaranasakul N., Factors that influence customer churn in telecommunication industry in Bangkok, Doctoral dissertation, SIU PS SOMMBA, 2007-03.
- Turiho1 J.C., Cheruiyot W., Kibe1 A. și Mungwarakarama I., Survey of Data Mining Techniques Used for Real Time Churn Prediction, 2017. http://www.ancom.org.ro/