Daramola, Olawande and Oladipupo, O. O. (2007) Process Framework for Subscriber Management and Retention in Nigerian Telecommunication Industry. 3GSM & Mobile Computing: An Emerging Growth Engine for National Development, Covenant University, 2007. pp. 79-87.
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/application_pdf.png) |
PDF
Download (1MB) |
Abstract
in the global telecommunication industry. Hence, a dominant approach for subscriber management and retention is churn control, since it is cheaper to retain an existing subscriber than acquiring a new one. Predictive modeling employs the use of data mining techniques to identify patterns and provide a result that a group of subscribers are likely to churn in the near future. However, the effectiveness of subscriber retention strategy in an organization can be further boosted if the reason for churn and the timing of churn can also be predicted. In this paper, we propose a data mining process framework that can be used to predict churn, determine when a subscriber is likely to churn, provides the reason why a subscriber may churn, and recommend appropriate intervention strategy for customer retention using a combination of statistical and machine learning techniques. This experiment is carried out using data from a major telecom operator in Nigeria.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mr Solomon Bayoko |
| Date Deposited: | 15 Jan 2014 06:28 |
| Last Modified: | 15 Jun 2017 17:57 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/2025 |
Actions (login required)
 |
View Item |
