Customer churn prediction - Open Access .click

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DATA MINING BASED MODEL AGGREGATION [PDF]

Applying modelling techniques for getting acquainted with customer behaviour, predicting the customers’ next step is neccessary to keep in competition, by decreasing the capital requirement (Basel II - IRB) or making the portfolio more profitable ...
Szucs, Imre
core +1 more source

A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models [PDF]

International Journal of Research in Industrial Engineering, 2013
Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past
H. Abbasimehr, S. Alizadeh
doaj

DATA MINING AND THE PROCESS OF TAKING DECISIONS IN EBUSINESS [PDF]

Data mining software allows users to analyze large databases to solve business decision problems. Data mining is, in some ways, an extension of statistics, with a few artificial intelligence and machine learning twists thrown in.
Ana Maria Mihaela Tudorache
core

Enhancing customer retention in telecom industry with machine learning driven churn prediction

Scientific Reports
Customer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and efficient customer ...
Alisha Sikri +3 more
doaj +1 more source

Telco Customer Churn Prediction

Highlights in Science, Engineering and Technology
In recognizing the significance of retaining current consumers to thrive in this competitive landscape, this paper aims to predict customers' churn probability based on the background and behaviors of previous customers. The paper utilizes churn probability as a proactive means to identify customers at a high risk of leaving, serving as a reference for
openaire +1 more source

Predictive Modeling for Customer Churn

Customer churn is a major concern for the banking industry, where retaining existing customers is often more profitable than acquiring new ones. With increasing competition from digital banks and fintech startups, it has become vital for traditional banks to proactively identify customers who are likely to leave.
Dr. AS Arunachalam, B Sathya Moorthy
openaire +2 more sources

Preventing customers from running away! Exploring generalized additive models for customer churn prediction [PDF]