"Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach"
written by Michele Gorgoglione, Umberto Panniello,
published by Journal of Intelligent Learning Systems and Applications, Vol.3 No.2, 2011
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] An Actionable Knowledge Discovery System in Regular Sports Services
2019
[2] Extracting Actionable Knowledge to Increase Business Utility in Sport Services
2019
[3] Modelos para incremento da retenção em serviços desportivos regulares
Conference Paper, 2018
[4] (N′, T, N)-Implications
2018
[5] Models for increasing retention in regular sports services: Predictive analysis and loyalty actions
2018
[6] CHURN PROPENSITY MODEL FOR CUSTOMERS WHO MADE A COMPLAINT IN RETAIL BANKING
2018
[7] Tekoälyn soveltuvuus vähittäispankkipalveluihin
2018
[8] Modelos para incremento da retenção em serviços desportivos regulares: análise preditiva e ações de fidelização
2018
[9] Modelos para incrementoda retenção em serviços desportivos regulares: análise preditiva e ações de fidelização
2018
[10] INTELLIGENTPERSONALIZATION APPROACHESFORCOMPLEX CUSTOMER BEHAVIOUR: AN OVERVIEW
International Journal of Intelligent Computing and Information Sciences, 2017
[11] The Risk of Optimization in Marketing Campaigns
International Journal of Business Analytics (IJBAN), 2017
[12] Understanding IPTV churning behaviors: focus on users in South Korea
Asia Pacific Journal of Innovation and Entrepreneurship, 2017
[13] An Empirical Study on Job Satisfaction, Organizational Role Stress and Burnout among Secondary School Teachers in Coimbatore
Asian Journal of Research in Social Sciences and Humanities, 2016
[14] Developing a Personalized Multi-Dimensional Framework using Business Intelligence Techniques in Banking
INFOS 2016 Proceedings of the 10th International Conference on Informatics and Systems, 2016
[15] Asian Research Consortium
2016
[16] A Data Mining Approach to Predict Prospective Business Sectors for Lending in Retail Banking Using Decision Tree
arXiv preprint arXiv:1504.02018, 2015
[17] Customer Churn Analysis In Banking Sector Using Data Mining Techniques
2015
[18] Constraint Mining in Business Intelligence: A Case Study of Customer Churn Prediction
International Journal of …, 2013
[19] Reducing churn from price increases: an experimental intervention
2013