A Review of Anomaly Detection using Machine Learning Techniques
Abhishek Kesharwani, Prashant Kumar Shukla · 2024
Anomaly detection is different in different areas or context and the definition of anomaly also changes from problem to problem. Classical techniques like classification and clustering are not effective when it comes to identify anomaly in graph structured data. This paper examines various anomaly detection methods, focusing on classification, clustering, time series data, and problems related to graph-based structures. On the basis of existing studies, we have emphasized that anomaly detection algorithms applied on graphs using Graph Neural network are much accurate.