Prediction of customer churn using resampling and ensemble classification algorithms on telecom dataset-Reference-Cited by-同舟云学术

Prediction of customer churn using resampling and ensemble classification algorithms on telecom dataset

Published:2023-04-28 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP)
language:
Short-container-title:

Author:

Raj Aryan¹,Vetrithangam D¹

Affiliation:

1. Chandigarh University,Computer Science Engineering,Kharar,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150431/10151452/10151659.pdf?arnumber=10151659

Reference37 articles.

1. Systematic review of customer churn prediction in the telecom sector;eria;Technol Innov Appl,2018

2. Short-term hourly load forecasting using time-series modeling with peak load estimation capability

3. Customer churn prediction in telecommunication a decade review and classification;hashmi;International Journal of Computer Science issues (IJCSI),2013

4. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model;biao;Systems Engineering-Theory and Practice,2010

5. Applying bayesian belief network approach to customer churn analysis: A case study on the telecom industry of turkey;kisioglu;Expert Systems with Applications,2011

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Analytics for Customer Behavior - Top Up Propensity and Account Balance Predictions in Prepaid Mobile Services;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. Customer Churn Prediction in Telecommunication Industry using Machine Learning and Deep Learning Approach;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

3. Customer Churn Prediction in Telecommunication, Medical Industry Using Machine Learning Classification Models;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14