Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion
Author:
Affiliation:
1. School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
2. School of Engineering, Lancaster University, Lancaster, U.K
Funder
Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10070749.pdf?arnumber=10070749
Reference29 articles.
1. Customer Churn in Mobile Markets: A Comparison of Techniques
2. Modeling partial customer churn: On the value of first product-category purchase sequences
3. Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector
4. A churn prediction model for prepaid customers in telecom using fuzzy classifiers
5. A Hybrid Approach to Predict Churn
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