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A Stacking-Based Data Mining Solution to Customer Churn Prediction [PDF]
, 2022 In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies.
Seyyedamiri, N. +4 more
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SN Applied Sciences, 2021 Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
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Intelligent Decision Forest Models for Customer Churn Prediction
Applied Sciences, 2022 Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza +9 more
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MINIMAX PROBABILITY BASED CHURN PREDICTION FOR PROFIT MAXIMIZATION
ICTACT Journal on Soft Computing, 2021 Churn prediction has become a significant requirement for all customer centric organizations. Accurate prediction of churn can effectively improve customer loyalty and improve profits for the organization.
V Jude Nirmal
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A Model for Customer Churn Management of an Internet Service Provider [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2022 Customer churning is one of the most important issues facing Internet Service Providers in a competitive and rapidly saturating market. Due to the high costs associated with attracting new customers, ISPs have turned to a customer retention approach that
Sahar Amiri +2 more
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B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM
Journal of Theoretical and Applied Electronic Commerce Research, 2022 Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies.
Xiancheng Xiahou, Yoshio Harada
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Bank Customer Churn Prediction
Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China, 2023 In the current challenging era, there is a stiff competition happening between the banking industries. To strengthen the grade and level of services they provide, banks focus on customer retention as well as the customer churning. Customer churning becomes one of the duties of corporate intelligences to speculate the number of customers leaving from ...
Jufin P A, Amrutha N
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Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping
Applied Sciences, 2021 In recent years, the telecom market has been very competitive. The cost of retaining existing telecom customers is lower than attracting new customers.
Tianpei Xu, Ying Ma, Kangchul Kim
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Customer Segmentation and Churn Prediction via Customer Metrics
2022 30th Signal Processing and Communications Applications Conference (SIU), 2022 In this study, it is aimed to predict whether customers operating in the factoring sector will continue to trade in the next three months after the last transaction date, using data-driven machine learning models, based on their past transaction movements and their risk, limit and company data.
Tunahan Bozkan +3 more
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A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
, 2009 We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark +4 more
core +1 more source