Detecting Anomalies over Message Streams in Railway Communication Systems

Lucas Foulon 1, 2 Serge Fenet 2 Christophe Rigotti 3, 2, 4 Denis Jouvin 1
2 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
Document type :
Poster communications
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https://hal.archives-ouvertes.fr/hal-02357927
Contributor : Christophe Rigotti <>
Submitted on : Monday, November 11, 2019 - 12:20:49 AM
Last modification on : Friday, November 15, 2019 - 9:04:49 AM

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  • HAL Id : hal-02357927, version 1

Citation

Lucas Foulon, Serge Fenet, Christophe Rigotti, Denis Jouvin. Detecting Anomalies over Message Streams in Railway Communication Systems. AALTD@ECML/PKDD 2019 - 4th Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2019, Wurzburg, Germany. ⟨hal-02357927⟩

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