# Bot recognition in a Web store: An approach based on unsupervised learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/bot-recognition-in-a-web-store-an-approach-based-on-unsupervised-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stefano Rovetta,Grażyna Suchacka,Francesco Masulli |
| Citations | 43 |
| DOI | 10.1016/j.jnca.2020.102577 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1084804520300515/pdf |
| OpenAlex ID | https://openalex.org/W3005573866 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Stefano Rovetta](https://scholariq.org/researchers/stefano-rovetta/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

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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.