Adaptive Real-Time Method for Anomaly Detection Using Machine Learning

Adaptive Real-Time Method for Anomaly Detection Using Machine Learning

Anomaly detection is a sub-area of machine learning that deals with the development of methods to distinguish among normal and anomalous data. Due to the frequent use of anomaly-detection systems in monitoring and the lack of methods capable of learning in real time, this research presents a new met...

Full description

Bibliographic Details
Main Authors: David Novoa-Paradela, Óscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Proceedings
Subjects:
anomaly detection
convex hull
data streaming
big data
Online Access:https://www.mdpi.com/2504-3900/54/1/38

Internet

https://www.mdpi.com/2504-3900/54/1/38

Similar Items