The diversity and specificities of today's businesses have leveraged a wide range of
prediction techniques. In particular, churn prediction is a major economic concern for many …

Abstract Customer Churn Prediction (CCP) is a challenging activity for decision makers and
machine learning community because most of the time, churn and non-churn customers …

Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

In this paper, we present churn prediction techniques that have been released so far. Churn
prediction is used in the fields of Internet services, games, insurance, and management …

In order to improve the accuracy and stability of K-means algorithm and solve the problem of
determining the most appropriate number K of clusters and best initial seeds, an improved K …

One of the most important parts of an artificial neural network (ANN) which affects
performance is training algorithms. Training algorithms optimize the weights and biases of …

In the digital era, innovations in business intelligence are critical to staying competitive and
popular across the growing business trends. Businesses have begun to investigate the next …

In recent years, the telecom market has been very competitive. The cost of retaining existing
telecom customers is lower than attracting new customers. It is necessary for a telecom …

Customer churn prediction models using machine learning classification have been
developed predominantly by training and testing on one time slice of data. We train models …

Online gaming is a multibillion dollar industry that entertains a large, global population.
Empowering online games with AI has made a great success, however, ignores the …