Romain Vuillemot bio photo

Romain Vuillemot

Assistant Professor
École Centrale de Lyon
LIRIS Laboratory

Email Twitter Facebook Google+ LinkedIn Github Youtube Google Scholar ResearchGate Zotero

Detecting Anomalies in Data Streams using Statecharts

Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain Vuillemot, Aris M. Ouksel, Lionel Brunie

Conference: EGC 2010
Proceedings: Extraction et gestion des connaissances (EGC'2010), Actes, 26 au 29 janvier 2010, Hammamet, Tunisie.
Paper: /publis/egc10demo-detecting-anomalies-data-streams-statecharts.pdf

The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream integration over an attribute (such as time) and knowledge extraction from raw data. In this paper we propose one approach to face those two challenges. First, data streams integration is performed using statecharts which represents a resume of data produced by the corresponding data producer. Second, we detect anomalous events over temporal relations among statecharts. We describe our approach in a demonstration scenario, that is using a visual tool called Patternator.

← Back to publications