Customer Churn Prediction Using Machine Learning Methods: A Comparative Analysis

Hamdullah Karamollaoğlu; İbrahim Yücedağ; İbrahim Alper Doğru

doi:10.1109/ubmk52708.2021.9558876

ScienceGate Book Chapters

JOURNAL ARTICLE

Customer Churn Prediction Using Machine Learning Methods: A Comparative Analysis

Hamdullah Karamollaoğlu İbrahim Yücedağ İbrahim Alper Doğru

Year: 2021 Journal: 2021 6th International Conference on Computer Science and Engineering (UBMK)

DOI: 10.1109/ubmk52708.2021.9558876

Get Full-Text PDF Get Analytical Report

Abstract

6th International Conference on Computer Science and Engineering, UBMK 2021 -- 15 September 2021 through 17 September 2021 -- 176826

Keywords:

AdaBoost Computer science Naive Bayes classifier Random forest Support vector machine Decision tree Machine learning Process (computing) Artificial intelligence Service (business) Data mining Marketing Business

Metrics

Cited By

3.20

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Customer Service Quality and Loyalty

Social Sciences → Business, Management and Accounting → Organizational Behavior and Human Resource Management

Consumer Retail Behavior Studies

Social Sciences → Business, Management and Accounting → Marketing

Customer Churn Prediction Using Machine Learning Methods: A Comparative Analysis

Abstract

Metrics

Citation History

Topics

Related Documents

Customer Churn Prediction using Machine Learning

Customer Churn Prediction Using Machine Learning

Customer Churn Prediction Using Machine Learning

Customer Churn Prediction Using Machine Learning

CUSTOMER CHURN PREDICTION USING MACHINE LEARNING