Results 181 to 190 of about 17,717 (205)
Some of the next articles are maybe not open access.
Customer Churn Prediction by Hybrid Model
2006In order to improve the performance of a data mining model, many researchers have employed a hybrid model approach in solving a problem. There are two types of approach to build a hybrid model, i.e., the whole data approach and the segmented data approach.
Jae Sik Lee, Jin Chun Lee
openaire +1 more source
Customer Churn Prediction in B2B Contexts
2019While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature.
Iris Figalist +3 more
openaire +1 more source
Customer churn prediction for retention analysis
Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today's corporate context, understanding and mitigating customer churn has become critical for long-term success.Rajesh Saturi +3 more
openaire +1 more source
Hybrid model for profit-driven churn prediction based on cost minimization and return maximization
Expert Systems With Applications, 2023Zhenkun Liu, Lifang Zhang
exaly
Customer churn prediction for web browsers
Expert Systems with Applications, 2022Xing Wu 0001 +5 more
openaire +1 more source
Customer churn prediction in telecommunication industry using data certainty
Journal of Business Research, 2019Adnan Amin +2 more
exaly
Customer churn prediction using improved balanced random forests
Expert Systems With Applications, 2009Xiu Li, Eric W T Ngai
exaly
Dynamic behavior based churn prediction in mobile telecom
Expert Systems With Applications, 2020Nada Ghneim
exaly
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems With Applications, 2011Wouter Verbeke +2 more
exaly