A Study on Mobile Customer Churn Based on Learning from Soft Label Proportions-Reference-Cited by-同舟云学术

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A Study on Mobile Customer Churn Based on Learning from Soft Label Proportions

Published:2019 Issue: Volume:162 Page:413-420
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Lu Kaili,Zhao Xingqiu,Wang Bo

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. A Strategic Framework for Customer Relationship Management[J];Frow;Journal of Marketing,2005

2. A Framework for Customer Relationship Management[J];Winer;California Management Review,2001

3. Customer churn prediction in telecommunications[J];Huang;Expert Systems with Applications,2012

4. Applying data mining to telecom churn management[J];Hung;Expert Systems with Applications,2006

5. Customer Churn Prediction Using Improved One-Class Support Vector Machine.[J];Zhao;Lecture Notes in Computer Science,2005

Cited by 3 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. Machine Learning and Artificial Intelligence;Advances in Marketing, Customer Relationship Management, and E-Services;2022-06-24

2. Feature Selection for Customer Churn Prediction: A Review on the Methods & Techniques applied in the Telecom Industry;2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2022-04-23

3. Active learning from label proportions via pSVM;Neurocomputing;2021-11

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