A Knowledge Extraction Pipeline between Supervised and Unsupervised Machine Learning Using Gaussian Mixture Models for Anomaly Detection
Reda Chefira, Said Rakrak · Journal of Computing Science and Engineering · 2021
This paper presents a new approach to design a decision support model with suitability across various contexts, and in particular for the Internet of Things. It provides an anomaly detection-learning model that is adapted to the patient