Customer Churn Analysis in Financial Domain using Deep Intelligence Network-Reference-Cited by-同舟云学术

Customer Churn Analysis in Financial Domain using Deep Intelligence Network

Published:2023-01-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

Kumar Hegde Sandeep¹,Hegde Rajalaxmi¹,Nanda Sudhansu Sekhar²,Phatak Gururaj³,Hongal Pushpa⁴,V Dankan Gowda⁵

Affiliation:

1. NMAM Institute of Technology, Nitte (Deemed to be University),Department of Computer Science and Engineering,Karkala Taluk,India

2. Kirloskar Institute of Management,Karnataka,India

3. Kirloskar Institute of Management,Harihar,India

4. Karnatak University,Kousali Institute of Management Studies,Dharwad,India

5. BMS Institute of Technology and Management,Department of Electronics and Communication Engineering,Bangalore,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10053371/10052779/10053473.pdf?arnumber=10053473

Reference20 articles.

1. Churn prediction on huge telecom data using hybrid firefly based classification

2. Predicting Customer Churn: Extreme Gradient Boosting with Temporal Data;gregory,2018

3. Large Scale Classification in Deep Neural Network with Label Mapping

4. An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing;vijaya;Cluster Computing,2017

5. Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications

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