scholar.google.com › citations
Oct 24, 2022 · We propose a methodology to detect first raw anomalies, and group them in a spatiotemporal convex hull, further refining the anomaly detection ...
Oct 24, 2022 · We propose a methodology to detect first raw anomalies, and group them in a spatiotemporal convex hull, further refining the anomaly detection ...
Aug 18, 2022 · Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology. Computer Networks, 2022, pp.109277. 10.1016/j.comnet ...
Oct 24, 2022 · We propose a methodology to detect first raw anomalies, and group them in a spatiotemporal convex hull, further refining the anomaly detection ...
Aug 18, 2022 · We focus on the detection of mobile access spatiotemporal anomalies by decomposing, aggregating and grouping cellular data usage features time ...
Nov 19, 2022 · We propose a methodology to detect first raw anomalies, and group them in a spatiotemporal convex hull, further refining the anomaly detection ...
Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology · Agathe Blaise, M. Bouet, +1 author. Stefano Secci · Published in Comput.
People also ask
What is anomaly detection in spatiotemporal data?
What are the three 3 basic approaches to anomaly detection?
Which technique is used for anomaly detection?
What model is used for anomaly detection?
Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology. A Blaise, M Bouet, V Conan, S Secci. Computer Networks 216, 109277 ...
Sep 8, 2024 · Both AAE and VAE detect group anomalies using point-wise input data where group memberships are known a priori. We conduct extensive experiments ...
Agathe Blaise, Mathieu Bouet, Vania Conan, Stefano Secci. Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology. Computer ...