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Predictive Modeling for Customer Churn
Customer churn is a major concern for the banking industry, where retaining existing customers is often more profitable than acquiring new ones. With increasing competition from digital banks and fintech startups, it has become vital for traditional banks to proactively identify customers who are likely to leave.Dr. AS Arunachalam, B Sathya Moorthy
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Customer Churn Prediction by Hybrid Model
2006In order to improve the performance of a data mining model, many researchers have employed a hybrid model approach in solving a problem. There are two types of approach to build a hybrid model, i.e., the whole data approach and the segmented data approach.
Jae Sik Lee, Jin Chun Lee
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Customer Churn Prediction using Customer Data and Reviews
2023 International Conference on Advanced Computing Technologies and Applications (ICACTA), 2023Sumukh Ashish Kulkarni +3 more
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Telecom Customer Churn Prediction Analysis
2023Shams Uz Zaman Mohammed +1 more
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Telecom Customer Churn Prediction: A Survey
2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021Kartekay Goyal +4 more
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Customer churn prediction in telecommunication company
AIP Conference Proceedings, 2023Dota Biomantoro, Gede Putra Kusuma
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