[1]
|
Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector
Computation,
2021
DOI:10.3390/computation9030034
|
|
|
[2]
|
A bi‐objective procedure to deliver actionable knowledge in sport services
Expert Systems,
2020
DOI:10.1111/exsy.12617
|
|
|
[3]
|
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
|
|
|
[4]
|
A bi‐objective procedure to deliver actionable knowledge in sport services
Expert Systems,
2020
DOI:10.1111/exsy.12617
|
|
|
[5]
|
Progress in Artificial Intelligence
Lecture Notes in Computer Science,
2019
DOI:10.1007/978-3-030-30244-3_33
|
|
|
[6]
|
The Risk of Optimization in Marketing Campaigns
International Journal of Business Analytics,
2017
DOI:10.4018/IJBAN.2017100101
|
|
|
[7]
|
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
|
|
|
[8]
|
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
|
|
|
[9]
|
Developing a Personalized Multi-Dimensional Framework using Business Intelligence Techniques in Banking
Proceedings of the 10th International Conference on Informatics and Systems,
2016
DOI:10.1145/2908446.2908488
|
|
|