Customer Churn Prediction Using Machine Learning Approaches
Author:
Affiliation:
1. SRM Institute of Science and Technology,Department of Computing Technologies,Kattankulathur,India,603 203
2. SRM Institute of Science and Technology,Department of Data Science and Business Systems,Kattankulathur,India,603 203
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10083319/10083505/10083813.pdf?arnumber=10083813
Reference18 articles.
1. An Ensemble Technique to Detect Fabricated News Article Using Machine Learning and Natural Language Processing Techniques
2. Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
3. Telecom Customer Churn Prediction: A Survey
4. A customer churn prediction model in telecom industry using boosting;ning;IEEE Trans Ind Inform,2014
5. To Predict Customer Churn By Using Different Algorithms
Cited by 9 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. AI and ML Approaches for Boosting Comparison With Customer Churn;Advances in Business Strategy and Competitive Advantage;2024-08-30
2. Analysis of Customer Churn for Telecom Company with SMOTE-ENN and Hyperparameter Tuning Randomized-SearchCV Technique in Advanced Machine Learning Technology;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21
3. Identifying Key Learning Algorithm Parameter of Forward Feature Selection to Integrate with Ensemble Learning for Customer Churn Prediction;VFAST Transactions on Software Engineering;2024-06-11
4. Enhancing Customer Retention through Feature Selection and XGBoost Classification for Churn Prediction;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
5. ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry;IEEE Access;2024
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3