# Customer churning analysis using machine learning algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/customer-churning-analysis-using-machine-learning-algorithms/

## Facts

| Field | Value |
| --- | --- |
| Author Names | B. Prabadevi,R. Shalini,B. Kavitha |
| Citations | 90 |
| DOI | 10.1016/j.ijin.2023.05.005 |
| Fields | Business, Management and Accounting |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.ijin.2023.05.005 |
| OpenAlex ID | https://openalex.org/W4381094450 |
| Type | article |
| Year | 2023 |

## Paper authors

- [B. Kavitha](https://scholariq.org/researchers/b-kavitha/)

## Paper primary topic

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)

## Paper topics

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)
- [Customer Service Quality and Loyalty](https://scholariq.org/topics/customer-service-quality-and-loyalty/)
- [Consumer Retail Behavior Studies](https://scholariq.org/topics/consumer-retail-behavior-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.