A Survey on Customer Churn Prediction using Machine Learning and data mining Techniques in E-commerce-Reference-Cited by-同舟云学术

A Survey on Customer Churn Prediction using Machine Learning and data mining Techniques in E-commerce

Published:2021-12-08 Issue: Volume: Page:
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Container-title:2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
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Author:

Gopal Priya¹,MohdNawi Nazri Bin²

Affiliation:

1. College of Banking and Financial Studies,Under Graduate department,Muscat,Oman

2. Universityi Tun Hussein Onn,Faculty of Computer science and Information Technology,Johor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718231/9718367/09718460.pdf?arnumber=9718460

Reference34 articles.

1. Churn analysis using deep convolutional neural networks and autoencoders;wangperawong;arXiv preprint arXiv 1604 05377,2016

2. Incorporating textual information in customer churn prediction models based on a convolutional neural network;de caigny;International Journal of Forecasting,2019

3. A Feature Extraction Method Based on Stacked Auto-Encoder for Telecom Churn Prediction

4. A Novel Approach for Churn Prediction Using Deep Learning

5. Deep Learning Based Customer Churn Analysis

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