Results 21 to 30 of about 9,240 (196)

CUSTOMER CHURN PREDICTION

International Journal for Research in Engineering Application & Management
Our work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar, Prajkta Shriram Jamsandekar, Sampada Sanjay Parkar, Sawant S.P   +3 more
  +8 more sources

Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models

Algorithms
Customer churn is a significant concern, and the telecommunications industry has the largest annual churn rate of any major industry at over 30%. This study examines the use of ensemble learning models to analyze and forecast customer churn in the ...
Victor Chang, Karl Hall, Qianwen Ariel Xu, Folakemi Ololade Amao, Meghana Ashok Ganatra, Vladlena Benson   +5 more
doaj   +3 more sources

A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation

Future Internet, 2022
Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies.
Tianyuan Zhang, Sérgio Moro, Ricardo F. Ramos   +2 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

Predicting Customer Churn in Retailing

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
INSiDR
Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung   +3 more
openaire   +2 more sources

Customer churn prediction model: a case of the telecommunication market

ECONOMICS, 2022
The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana, Zatonatska Tetiana, Dluhopolskyi Oleksandr, Kovalenko Oksana   +3 more
doaj   +1 more source

A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

Discrete Dynamics in Nature and Society, 2021
Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage.
Ming Zhao, Qingjun Zeng, Ming Chang, Qian Tong, Jiafu Su   +4 more
doaj   +1 more source

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

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

Socio-Transactional Impact of Recency, Frequency, and Monetary Features oN Customers’ Behaviour in Telecoms’ Churn Prediction

Iraqi Journal for Computer Science and Mathematics, 2022
Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye , Clement ONIME, Nashwan Dheyaa Zaki, olufade F.W Onifade   +3 more
doaj   +1 more source