Can I read Lightweight ML for Real-Time Anomaly Detection on EtoBox?

Lightweight ML for Real-Time Anomaly Detection by Ouhoud Djebbi is a document available to read on EtoBox.

What is Lightweight ML for Real-Time Anomaly Detection about?

This document presents a lightweight machine learning model designed for real-time anomaly detection in streaming time series data, addressing the limitations of conventional methods that require significant computational resources. The proposed model, based on the Hoeffding Tree algorithm, demonstrates high detection accuracy while being scalable and efficient, making it suitable for applications in IoT, finance, and healthcare. Comprehensive tests confirm its effectiveness in handling noise and concept dr

Author

Ouhoud Djebbi

Language

EN