Machine Learning Models and Applications for Early Detection
Orlando Zapata-Cortes,
Martin Darío Arango-Serna,
Julian Andres Zapata-Cortes
et al.
Abstract:From the various perspectives of machine learning (ML) and the multiple models used in this discipline, there is an approach aimed at training models for the early detection (ED) of anomalies. The early detection of anomalies is crucial in multiple areas of knowledge since identifying and classifying them allows for early decision making and provides a better response to mitigate the negative effects caused by late detection in any system. This article presents a literature review to examine which machine lear… Show more
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