Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining

Provided by: International Journal of Computer Science Issues
Topic: Data Management
Format: PDF
Customer churn in the mobile telephony industry is a continuous problem owing to stiff competition, new technologies, low switching costs, deregulation by governments, among other factors. To address this issue, players in this industry must develop precise and reliable predictive models to identify the possible churners beforehand and then enlist them to intervention programs in a bid to retain as many customers as possible. This paper proposes a new set of features with the aim of improving the recognition rates of possible churners.

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