… churn prediction model which assists telecom operators to predict customers who are most
likely subject to churn… in this work uses machine learning techniques on big data platform and …

… to predict customers who are most likely subject to churn. The model developed in this work
uses machine learning techniques on big data platform … M, Howard N, Qadir J, Hawalah A, …

… for identifying churn. The current study makes an effort to predict customer churn in telecom
employing Big Data analytics. Statistical analyses and machine learning application such as …

… Customer churn is perhaps the biggest challenge in telco (… components, based on both
unlabeled and labeled instances of features using data mining and machine learning algorithms. …

… a churn prediction model which using machine learning techniques on big data platform, …
select the most vulnerable customer groups from a large number of customers and carry out …

… develop a Machine Learning model that can predict customer churn prediction and retention…
business based on the analysis of big data in the telecom industry and historical information …

… The selecting number of training epochs one of the biggest challenges with training neural
… [48] Zhong, J., Li, W. (2019). Predicting customer churn in the telecommunication industry by …

… of large telecom datasets is handled by use of new big data … , B., & Vanthienen, J. (2017).
Social network analytics for … of machine learning techniques for customer churn prediction. …

… The eight existing techniques based on customer churn prediction were illustrated in this …
Spark (Kusuma et al. 2016) is a framework used to process huge data processing tasks using a …

… developed machine learning techniques on big data platform … The data for training is a set
of points (vectors) x j along with … most important reasons that let customers churn. The models …