Results 21 to 30 of about 1,523,124 (234)

A Survey on Churn Analysis in Various Business Domains

IEEE Access, 2020
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.
Jaehyun Ahn, Junsik Hwang, Doyoung Kim, Hyukgeun Choi, Shinjin Kang   +4 more
doaj   +1 more source

Predicting Customer Churn on OTT Platforms: Customers with Subscription of Multiple Service Providers

Journal of Information and Organizational Sciences, 2022
No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing ...
Manish Mohan, Anil Jadhav
doaj   +1 more source

A Stacking-Based Data Mining Solution to Customer Churn Prediction [PDF]

, 2022
In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies.
Seyyedamiri, N., Shabankareh, M.A., Nazarian, A., Shabankareh, M.J., Ranjbaran, A.   +4 more
core   +1 more source

Telecom Churn Prediction Using Voting Classifier Ensemble Method and Supervised Machine Learning Techniques [PDF]

ITM Web of Conferences, 2023
In the current fast-paced world, there are a lot of changes and developments in the telecom sector, due to which the telecom companies find themselves in difficulties in retaining the customers who have availed of their services.
Pandithurai O., B Sriman, Narayan S Hrudhai, Ahmed H Humaid   +3 more
doaj   +1 more source

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

SN Applied Sciences, 2021
Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
doaj   +1 more source

MINIMAX PROBABILITY BASED CHURN PREDICTION FOR PROFIT MAXIMIZATION

ICTACT Journal on Soft Computing, 2021
Churn prediction has become a significant requirement for all customer centric organizations. Accurate prediction of churn can effectively improve customer loyalty and improve profits for the organization.
V Jude Nirmal
doaj   +1 more source

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

EAI Endorsed Transactions on Mobile Communications and Applications, 2022
INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers.
Sulaiman Olaniyi Abdulsalam, Jumoke Falilat Ajao, Bukola Fatimah Balogun, Micheal Olaolu Arowolo   +3 more
doaj   +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   +2 more sources

Intelligent Decision Forest Models for Customer Churn Prediction

Applied Sciences, 2022
Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, Nasiru Kehinde Salahdeen   +9 more
doaj   +1 more source

A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]

, 2009
We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark, Gabrys, Bogdan, Mark Eastwood, Bogdan Gabrys, Gabrys, B.   +4 more
core   +1 more source