Dynamic behavior based churn prediction in mobile telecom-Reference-Cited by-同舟云学术

Dynamic behavior based churn prediction in mobile telecom

Published:2020-12 Issue: Volume:162 Page:113779
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alboukaey Nadia,Joukhadar Ammar,Ghneim Nada^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference27 articles.

1. Customer churn prediction in telecom using machine learning in big data platform;Ahmad;Journal of Big Data,2019

2. Retention futility: Targeting high-risk customers might be ineffective;Ascarza;Journal of Marketing Research,2018

3. Customer base analysis: Partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting;Buckinx;European Journal of Operational Research,2005

4. Castanedo, F., Valverde, G., Zaratiegui, J., & Vazquez, A. (2014). Using Deep Learning to Predict Customer Churn in a Mobile Telecommunication Network Federico. 1–8.

5. A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data;Chen;European Journal of Operational Research,2012

Cited by 66 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Analytics in Customer Behavior: Anticipating Trends and Preferences;Results in Control and Optimization;2024-09

2. A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model;Scientific Reports;2024-08-30

3. Risk assessment of customer churn in telco using FCLCNN-LSTM model;Expert Systems with Applications;2024-08

4. Data-Driven Customer Online Shopping Behavior Analysis and Personalized Marketing Strategy;Journal of Organizational and End User Computing;2024-07-24

5. Predictive Analytics for Customer Behavior;Advances in Marketing, Customer Relationship Management, and E-Services;2024-07-12