Customer loyalty has gained foremost attention among the practitioners and the academic
researchers because of its proximity to organizational growth, profit and survival. Based on …

Ensemble learning involves using several individual classifiers and combining their
predictions, which may result in better performance than a single classifier. This article …

Churn prediction is still a challenging problem in telecom industry. Many data mining
techniques have been employed to predict customer churn and hence, reduce churn rate …

(1) This study aims to predict the youth customers' defection in retail banking. The sample
comprised 602 young adult bank customers.(2) The study applied Machine learning …

Purpose The purpose of the study is to discover clusters or homogenous groups of work-
from-home (WFH) Internet subscribers in the Philippines based on the attributes of speed …

To reduce the challenges of customer churn analysis, the proposed OKMSVM model has
been applied in the Tele-communication sector on “WA_Fn-User-Tele-Customer-Churn” …

The issue of customer churn, which is a major problem in the telecommunications industry,
poses several challenges, such as financial implications, client attrition, and increased …

In presenting this thesis in fulfillment of the requirements for a Post Graduate degree from
the Universiti Utara Malaysia (UUM), I agree that the library of this university may make it …

Churn is a vital business metric for subscription-based services like telecommunication
corporations. A telecommunication company needs a predictive model for finding the …