has been cited by the following article(s):
|
[1]
|
Explainable Machine Learning for Customer Churn Prediction
|
|
2023 |
|
|
|
|
[2]
|
Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector
|
|
2021 |
|
|
|
|
[3]
|
Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector. Computation 2021, 9, 34
|
|
2021 |
|
|
|
|
[4]
|
A bi‐objective procedure to deliver actionable knowledge in sport services
|
|
2020 |
|
|
|
|
[5]
|
Evaluating and Improving Attrition Models for the Retail Banking Industry
|
|
2020 |
|
|
|
|
[6]
|
An Actionable Knowledge Discovery System in Regular Sports Services
|
|
2019 |
|
|
|
|
[7]
|
Extracting Actionable Knowledge to Increase Business Utility in Sport Services
|
|
2019 |
|
|
|
|
[8]
|
Modelos para incremento da retenção em serviços desportivos regulares
|
|
Conference Paper,
2018 |
|
|
|
|
[9]
|
(N′, T, N)-Implications
|
|
2018 |
|
|
|
|
[10]
|
Models for increasing retention in regular sports services: Predictive analysis and loyalty actions
|
|
2018 |
|
|
|
|
[11]
|
CHURN PROPENSITY MODEL FOR CUSTOMERS WHO MADE A COMPLAINT IN RETAIL BANKING
|
|
2018 |
|
|
|
|
[12]
|
Tekoälyn soveltuvuus vähittäispankkipalveluihin
|
|
2018 |
|
|
|
|
[13]
|
Modelos para incremento da retenção em serviços desportivos regulares: análise preditiva e ações de fidelização
|
|
2018 |
|
|
|
|
[14]
|
Modelos para incrementoda retenção em serviços desportivos regulares: análise preditiva e ações de fidelização
|
|
2018 |
|
|
|
|
[15]
|
INTELLIGENTPERSONALIZATION APPROACHESFORCOMPLEX CUSTOMER BEHAVIOUR: AN OVERVIEW
|
|
International Journal of Intelligent Computing and Information Sciences,
2017 |
|
|
|
|
[16]
|
The Risk of Optimization in Marketing Campaigns
|
|
International Journal of Business Analytics (IJBAN),
2017 |
|
|
|
|
[17]
|
Understanding IPTV churning behaviors: focus on users in South Korea
|
|
Asia Pacific Journal of Innovation and Entrepreneurship,
2017 |
|
|
|
|
[18]
|
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 |
|
|
|
|
[19]
|
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 |
|
|
|
|
[20]
|
Asian Research Consortium
|
|
2016 |
|
|
|
|
[21]
|
A Comparative Study on Customer Satisfaction and Retention Strategy in Public and Private Sector Banks
|
|
2016 |
|
|
|
|
[22]
|
A Data Mining Approach to Predict Prospective Business Sectors for Lending in Retail Banking Using Decision Tree
|
|
arXiv preprint arXiv:1504.02018,
2015 |
|
|
|
|
[23]
|
Customer Churn Analysis In Banking Sector Using Data Mining Techniques
|
|
2015 |
|
|
|
|
[24]
|
Constraint Mining in Business Intelligence: A Case Study of Customer Churn Prediction
|
|
International Journal of …,
2013 |
|
|
|
|
[25]
|
Reducing churn from price increases: an experimental intervention
|
|
NULL
2013 |
|
|
|
|
[1]
|
Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector
Computation,
2021
DOI:10.3390/computation9030034
|
|
|
|
|
[2]
|
Evaluating and Improving Attrition Models for the Retail Banking Industry
2020 Systems and Information Engineering Design Symposium (SIEDS),
2020
DOI:10.1109/SIEDS49339.2020.9106629
|
|
|
|
|
[3]
|
A bi‐objective procedure to deliver actionable knowledge in sport services
Expert Systems,
2020
DOI:10.1111/exsy.12617
|
|
|
|
|
[4]
|
Progress in Artificial Intelligence
Lecture Notes in Computer Science,
2019
DOI:10.1007/978-3-030-30244-3_33
|
|
|
|
|
[5]
|
The Risk of Optimization in Marketing Campaigns
International Journal of Business Analytics,
2017
DOI:10.4018/IJBAN.2017100101
|
|
|
|
|
[6]
|
Understanding IPTV churning behaviors: focus on users in South Korea
Asia Pacific Journal of Innovation and Entrepreneurship,
2017
DOI:10.1108/APJIE-08-2017-026
|
|
|
|
|
[7]
|
Developing a Personalized Multi-Dimensional Framework using Business Intelligence Techniques in Banking
Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16,
2016
DOI:10.1145/2908446.2908488
|
|
|
|