Customers are prominent resources in every business for its sustainability. Therefore, predicting customer churn is significant reducing churn, particularly the high-churn-rate telecommunications business. To identify customers at risk of churning, tactical marketing actions can be strategized to raise likelihood churn-probable remaining as customers. This might provide a corporation with savin...

Correction to: Chapter 36 in: T. Swarnkar et al. (eds.), Ambient Intelligence in Health Care, Smart Innovation, Systems and Technologies 317, https://doi.org/10.1007/978-981-19-6068-0_36

This study aims to present a very recent literature review on customer churn prediction based 40 relevant articles published between 2010 and June 2020. For searching the literature, most according Google Scholar ranking were selected collected. Then, each of scrutinized six main dimensions: Reference; Areas Research; Main Goal; Dataset; Techniques; outcomes. The research has proven that widely...

Numerous valuable clients can be lost to competitors in the telecommunication industry, leading profit loss. Thus, understanding reasons for client churn is vital companies. This study aimed develop a prediction model predict telecom through customer segmentation. Data were collected from three major Chinese companies, and Fisher discriminant equations logistic regression analysis used build mo...

Abstract The telecommunications market is well developed but characterized by oversaturation and high levels of competition. Based on this, the urgent problem to retain customers predict outflow customer base switching subscribers services competitors. Data Science technologies data mining methodology create significant opportunities for companies that implement analysis modeling development ch...