Predicting Customer Churn in Retail Banking using Supervised Machine Learning Algorithms

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Business Information Systems
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbis.2025.10070465
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Customer Churn in Retail Banking using Supervised Machine Learning Algorithms

Emmanuel C. Ogu, Stanley C. Okafor
International Journal of Business Information Systems
Customer churn and segmentation
article

Predicting Customer Churn in Retail Banking using Supervised Machine Learning Algorithms

Emmanuel C. Ogu, Stanley C. Okafor
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Business Information SystemsVol. 1(1)
Decent work and economic growth
Openalex Percentile: Top 92%
Customer churn and segmentation
DOISourceOpenAlex
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Predicting Customer Churn in Retail Banking using Supervised Machine Learning Algorithms — Emmanuel C. Ogu, Stanley C. Okafor · International Journal of Business Information Systems (2025) | TGRS Research Map | TGRS