# A machine learning approach to detecting fraudulent job types

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-machine-learning-approach-to-detecting-fraudulent-job-types/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marcel Naudé,Kolawole John Adebayo,Rohan Nanda |
| Citations | 34 |
| DOI | 10.1007/s00146-022-01469-0 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00146-022-01469-0.pdf |
| OpenAlex ID | https://openalex.org/W4281488121 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Kolawole John Adebayo](https://scholariq.org/researchers/kolawole-john-adebayo/)

## Paper journal

- [AI & Society](https://scholariq.org/journals/ai-and-society/)

## Paper primary topic

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

## Paper topics

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Cybercrime and Law Enforcement Studies](https://scholariq.org/topics/cybercrime-and-law-enforcement-studies/)
- [Academic integrity and plagiarism](https://scholariq.org/topics/academic-integrity-and-plagiarism/)

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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.