A flexible framework for customer behavior prediction based on ensemble learning-Reference-Cited by-同舟云学术

A flexible framework for customer behavior prediction based on ensemble learning

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
language:
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Author:

Nguyen Thi Minh¹^ORCID,Le Thi An¹^ORCID,Nguyen Thi Hau¹^ORCID

Affiliation:

1. Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, No. 144 Xuan Thuy, Cau Giay, Ha Noi, Viet Nam, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628973

Reference30 articles.

1. Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms

2. Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction

3. Hoss Belyadi and Alireza Haghighat . 2021. Supervised learning . In Machine Learning Guide for Oil and Gas Using Python . Elsevier , 169–295. Hoss Belyadi and Alireza Haghighat. 2021. Supervised learning. In Machine Learning Guide for Oil and Gas Using Python. Elsevier, 169–295.

4. Ensemble Methods in Customer Churn Prediction;Bogaert Matthias;A Comparative Analysis of the State-of-the-Art. Mathematics,2023

5. Anouar Dalli . 2022. Impact of hyperparameters on deep learning model for customer churn prediction in telecommunication sector. Mathematical Problems in Engineering 2022 ( 2022 ). Publisher : Hindawi . Anouar Dalli. 2022. Impact of hyperparameters on deep learning model for customer churn prediction in telecommunication sector. Mathematical Problems in Engineering 2022 (2022). Publisher: Hindawi.