A hybrid approach based on k-means and SVM algorithms in selection of appropriate risk assessment methods for sectors

• Published in: PeerJ. Computer science Vol. 10; p. e2198
• Main Author: Topaloglu, Fatih
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 26.07.2024; PeerJ Inc
• Subjects: Algorithms; Artificial Intelligence; Data Mining and Machine Learning; K-means; Machine learning; Methods; Neural networks; Risk analysis; Risk assessment; Risk assessment methods; Support vector machine; K-means; Risk assessment methods; Support vector machine; Risk analysis; Machine learning

Every work environment contains different types of risks and interactions between risks. Therefore, the method to be used when making a risk assessment is very important. When determining which risk assessment method (RAM) to use, there are many factors such as the types of risks in the work environ...