Published Paper Details:

Customer churn is one of the main problems in the telecommunications industry. Several studies have shown that attracting new customers is much more expensive than retaining existing ones. Therefore, companies are focusing on developing accurate and reliable predictive models to identify potential customers that will churn shortly. The telecommunication industry in recent years is a subject of major changes and from a fast-growing industry has come to a state of saturation accompanied by a strong appetitive market. Customers starve for better services and prices, while their requirements are extremely complex and difficult to understand. Customers starve for better services and prices, while their requirements are extremely complex and difficult to understand. This project aims to investigate the main reasons for churn in the telecommunication sector. This project aims to investigate the main reasons for churn in the telecommunication sector. The proposed methodology for analysis of churn prediction covers several phases: understanding the business, selection, analysis, and data processing; implementing various algorithms for classification; evaluation of the classifiers and choosing the best one for prediction