Results 21 to 30 of about 17,717 (205)

Predicting Customer Churn in Retailing

open access: yes2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
INSiDR
Dirar Sweidan   +3 more
openaire   +2 more sources

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

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

Intelligent Decision Forest Models for Customer Churn Prediction

open access: yesApplied 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   +9 more
doaj   +1 more source

Churn prediction based on text mining and CRM data analysis [PDF]

open access: yes, 2014
Within quantitative marketing, churn prediction on a single customer level has become a major issue. An extensive body of literature shows that, today, churn prediction is mainly based on structured CRM data.
Heitz, Christoph   +2 more
core   +1 more source

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

open access: yesEAI 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   +3 more
doaj   +1 more source

Predviđanje odljeva utjecajnih mobilnih pretplatnika korištenjem značajki niske razine [PDF]

open access: yes, 2015
In the last years, customer churn prediction has been very high on the agenda of telecommunications service providers. Among customers predicted as churners, highly influential customers deserve special attention, since their churns can also trigger ...
Andrej Košir   +2 more
core   +2 more sources

Business dynamism and regional growth across the business cycle: Implications for recovery from the COVID‐19 crisis

open access: yesRegional Science Policy &Practice, EarlyView., 2023
Abstract This paper sheds light on regional recovery prospects from the coronavirus disease 2019 (COVID‐19) crisis by examining the link between gross rates of establishment openings and closures and local economic growth spanning the 2001 recession and the 2007–2009 global financial crisis (GFC).
Nicholas Kacher, Stephan Weiler
wiley   +1 more source

An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms

open access: yesApplied Sciences, 2022
Nowadays, customer churn has been reflected as one of the main concerns in the processes of the telecom sector, as it affects the revenue directly. Telecom companies are looking to design novel methods to identify the potential customer to churn.
Rencheng Liu   +7 more
doaj   +1 more source

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

open access: yes, 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 ...
A. Lemmens   +8 more
core   +1 more source

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