Data-Driven Retention Strategies: Exploring the Efficacy of Composite Deep Learning for Customer Churn Prediction in Telecommunications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Data-Driven Retention Strategies: Exploring the Efficacy of Composite Deep Learning for Customer Churn Prediction in Telecommunications

Published:2024-03-15 Issue: Volume:3 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
Short-container-title:

Author:

Habelalmateen Mohammed I¹,Dhandayuthapani V Bala²,Malathy V³,Pramodhini R⁴,Ramakrishna D⁵

Affiliation:

1. The Islamic university,Najaf,Iraq

2. College of Computing and Information Sciences, University of Technology and Applied Sciences,Shinas branch,Department of IT,Oman,UAE

3. SR University,Department of ECE,Warangal,India

4. Nitte Meenakshi Institute of Technology,Dept of ECE,Bengaluru,India

5. Mallareddy Engineering College for Women (Autonomous),Electronics and Communication Engineering Department,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10516017.pdf?arnumber=10516017

Reference11 articles.

1. A machine learning framework for customer churn prediction in telecommunications;Ali;Journal of Big Data,2020

2. Improving Customer Churn Prediction by Data Augmentation Using Pictorial Stimulus-Choice Data

3. Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees

4. An optimized system for sensor ontology meta‐matching using swarm intelligent algorithm

5. A deep learning framework for customer churn prediction based on time series attention and heterogeneous graph neural networks;Cheng;Knowledge-Based Systems,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP