Too Long; Didn't Read
Anomaly Detection Strategies for IoT Sensors: Anomaly detection strategies. This article is structured into the following areas: Use of IoT sensors, use of supervised, unsupervised and semi-supervised algorithms in training IoT data models. The interpretability of IoT data creates a path for:Defining ML models.Increasing the accuracy of predicting events. Raising alarms, among other things. Anomaly events may be ignored as sensors can malfunction causing to rise the number of false negatives in the system.