# EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/egma-ensemble-learning-based-hybrid-model-approach-for-spam-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yusuf Bilgen,Mahmut Kaya |
| Citations | 12 |
| DOI | 10.3390/app14219669 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2076-3417/14/21/9669/pdf?version=1729667941 |
| OpenAlex ID | https://openalex.org/W4403688736 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Mahmut Kaya](https://scholariq.org/researchers/mahmut-kaya/)

## Paper journal

- [Applied Sciences](https://scholariq.org/journals/applied-sciences/)

## Paper primary topic

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

## Paper topics

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-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.