Implementation of Machine Learning Techniques for predicting Credit Card Customer action-Reference-Cited by-同舟云学术

Implementation of Machine Learning Techniques for predicting Credit Card Customer action

Published:2022-07-15 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Panduro-Ramirez Jeidy¹,Akram Shaik Vaseem²,Reddy Ch.Srinivasa³,Ruiz-Salazar Jenny Maria⁴,Kanwer Budesh⁵,Singh Ram⁶

Affiliation:

1. Universidad Tecnológica del Perú,Business Department

2. Uttaranchal University,Division of Research & Innovation, UIT,Dehradun,Uttarakhand

3. Institute of Information Technology,Department of IT Vignan's,Duvvada

4. Universidad Nacional Federico Villarreal,Economic Sciences Department

5. Poornima Institute of Engineering and Technology,Department of Computer Science

6. Quantum University Roorkee,Quantum School of Business,Department of Commerce & Finance

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9914000/9914005/09914238.pdf?arnumber=9914238

Reference13 articles.

1. A comparative study of social network classifiers for predicting churn in the telecommunication industry;óskarsdóttir;2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM),2016

2. Selective Ensemble Model for Telecom Churn Prediction

3. Breast cancer diagnosis using multiple activation deep neural network

4. Customer Churn Prediction In Telecommunication Industry Using Machine Learning Classifiers

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