CusCP: AI-Driven System for Predictive Modeling of Customer Churn in E-commerce Using Machine Learning
Author:
Affiliation:
1. RIMT University,School of Management and Commerce,Mandi Gobindgarh,India
2. Syntelli Solutions Inc.,,Charlotte,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537663.pdf?arnumber=10537663
Reference16 articles.
1. Customer Churn Prediction Using AdaBoost Classifier and BP Neural Network Techniques in the E-Commerce Industry
2. Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees
3. B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM
4. A Survey on Customer Churn Prediction using Machine Learning and data mining Techniques in E-commerce
5. Development of fading channel patch based convolutional neural network models for customer churn prediction;Gupta;International Journal of System Assurance Engineering and Management,2022
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