Results 171 to 180 of about 2,167,087 (189)

Predicting Customer Churn in Electronic Banking

2019
The following paper is an outline of the current author’s research on the churn prediction in electronic banking. The research is based on real anonymised data of 4 million clients from one of the biggest Polish banks. Access to real data in such scale is a substantial strength of the study, as many researchers often do use only small data sample from ...
openaire   +2 more sources

Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests

Industrial Marketing Management, 2022
Ulrich Thonemann, Theresa Gattermann-Itschert   +1 more
exaly  

Leveraging unstructured call log data for customer churn prediction

Knowledge-Based Systems, 2021
Shaowu Liu, Nhi N Y Võ, Xitong Li
exaly  

A PCA-AdaBoost model for E-commerce customer churn prediction

Annals of Operations Research, 2022
Zengyuan Wu, Bei Wu
exaly  

Telecom Customer Churn Prediction

2022
Mehul Bhargava, Shruti Singh, Jaya Sharma, D. Franklin Vinod   +3 more
openaire   +1 more source

Customer churn prediction in telecommunication industry using data certainty

Journal of Business Research, 2019
Feras Al Obeidat, Adnan Amin, Jonathan Loo   +2 more
exaly  

A framework for identification of high-value customers by including social network based variables for churn prediction using neuro-fuzzy techniques

International Journal of Production Research, 2013
Hossein Abbasimehr, Javad Soroor, Mostafa Setak   +2 more
exaly  

Integrating the voice of customers through call center emails into a decision support system for churn prediction

Information and Management, 2008
Dirk van den Poel, Kristof Coussement
exaly  

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

European Journal of Operational Research, 2018
Arno de Caigny, Koen W de Bock, Kristof Coussement   +2 more
exaly  

Building comprehensible customer churn prediction models with advanced rule induction techniques

Expert Systems With Applications, 2011
David Martens, Bart Baesens, Christophe Mues   +2 more
exaly