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Method for isolated anomaly detection in large-scale data processing systems

Bruno Sericola 1 Romaric Ludinard 1 Erwan Le Merrer 2 Gilles Straub 2
1 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
2 Technicolor R & I [Cesson Sévigné]
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https://hal.inria.fr/hal-00914899
Contributor : Bruno Sericola <>
Submitted on : Friday, December 6, 2013 - 11:43:18 AM
Last modification on : Thursday, January 7, 2021 - 4:13:21 PM

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  • HAL Id : hal-00914899, version 1

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UNIV-RENNES1 | CNRS | INRIA | IRISA | IRISA-D2 | UR1-UFR-ISTIC | UNIV-RENNES | INSTITUT-TELECOM | INSA-RENNES

Citation

Bruno Sericola, Romaric Ludinard, Erwan Le Merrer, Gilles Straub. Method for isolated anomaly detection in large-scale data processing systems. France, Patent n° : 12306237.4. 2012. ⟨hal-00914899⟩

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