A hybrid classification model for churn prediction based on customer clustering
Author:
Affiliation:
1. College of Computer Science and Information Engineering, Guangxi Normal University, Guiling, Guangxi, China
2. School of Business Administration, Guangxi University of Finance and Economics, Nanning, Guangxi, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference32 articles.
1. berson A. , Smith S. and Thearling K. , Building data mining applications for CRM, McGraw-Hill, New York, (1999).
2. Profit maximizing logistic model for customer churn prediction using genetic algorithms;Stripling;Swarm and Evolutionary Computation,2018
3. New insights into churn prediction in the telecommunication sector: A profit driven data mining approach;Verbeke;European Journal of Operational Research,2012
4. Sparse learning for support vector classification;Kaizhu;Pattern Recognition Letters,2010
5. Churn prediction in the telecommunications sector using support vector machines;Brandusoiu;Annals of The Oradea University,2013
Cited by 5 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. Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature;IEEE Access;2024
2. Customer Churn Combination Prediction Model Based on Convolutional Neural Network and Gradient Boosting Decision Tree;Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence;2022-12-23
3. A Novel Hybrid Forecasting Approach for Customers Churn in Banking Industry;Journal of Information & Knowledge Management;2022-11-19
4. A neural networks approach to predict call center calls of an internet service provider1;Journal of Intelligent & Fuzzy Systems;2021-12-31
5. Modelling of Churn in Indian Politics: A Case Study of Andhra Pradesh;2021 IEEE 18th India Council International Conference (INDICON);2021-12-19
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