Results 11 to 20 of about 17,450 (209)

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

open access: yesFuture 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   +2 more
doaj   +1 more source

Integrated Churn Prediction and Customer Segmentation Framework for Telco Business

open access: yesIEEE Access, 2021
In the telco industry, attracting new customers is no longer a good strategy since the cost of retaining existing customers is much lower. Churn management becomes instrumental in the telco industry.
Shuli Wu   +3 more
doaj   +1 more source

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

open access: yesJournal 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

CUSTOMER CHURN PREDICTION

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
Customer churn, the termination of customer relationships with a business or service, is a critical metric that profoundly impacts a company's success. Effectively managing churn not only prevents revenue loss but also provides a competitive advantage by boosting customer retention rates.
openaire   +2 more sources

A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy

open access: yesConnection Science, 2022
Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue of customer churn was faced by the telecommunication industry.
R. Sudharsan, E. N. Ganesh
doaj   +1 more source

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

open access: yesITM 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.   +3 more
doaj   +1 more source

A Survey on Churn Analysis in Various Business Domains

open access: yesIEEE 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   +4 more
doaj   +1 more source

Telecom Customer Churn Prediction

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2020
Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a telecom service provider. Churn is significant in the telecommunication industry because it directly
Sundararajan, Abhijit, Gursoy, Kemal
openaire   +2 more sources

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

open access: yesSN 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

open access: yesICTACT 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

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