Christophe Dousson

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We address the problem of knowledge acquisition for alarm correlation in a complex dynamic system like a telecommunications network. To reduce the amount of information coming from telecommunications equipment, one needs to preprocess the alarm stream and we propose here a way to acquire some knowledge to do that. The key idea is that only the frequent(More)
This article falls under the problem of the symbolic monitoring of real-time complex systems or of video interpretation systems. Among the various techniques used for the on-line monitoring, we are interested here in the temporal scenario recognition. In order to reduce the complexity of the recognition and, consequently, to improve its performance , we(More)
The situation recognition system, to which this paper is devoted, receives as input a stream of time-stamped events; it performs recognition of instances of occurring situations, as they are developing, and it generates as output deduced events and actions to trigger. It is mainly a temporal reasoning system. It is predictive in the sense that it predicts(More)
The " ALARM " research group has been running two years as a multi-labs group within the French National Program on Artificial Intelligence PRC-IA. The group's objective was to bring together representatives of the academic and industrial worlds in order to analyze , on real applications, the various problems raised by alarm interpretation and to define the(More)
networks of random variables networks of automata Petri nets concurrent systems discrete event systems Markov fields distributed systems Bayesian Networks of Dynamic Systems networks of random variables networks of automata Petri nets concurrent systems discrete event systems Markov fields distributed systems estimation optimization diagnosis distributed(More)
This paper describes a formalism to model the behavior of telecommunications networks when a fault occurs and how the effects are propagated across equipment. The objective of such a formalism, which is derived from UML diagram sequences, is to ease the construction and the update of a model corresponding to the supervised network; this model can be used to(More)
In this paper we propose a method to pre-process a telecommunication alarm log with the aim of discovering more accurately frequent patterns. In a first step, the alarm types which present the same temporal behavior are clustered with a self organizing map. Then, the log areas which are rich in alarms of the clusters are searched. The sublogs are built(More)
This article falls under the problems of the diagnosis of distributed systems such as telecommunication networks. Among the various techniques used for the on-line diagnosis, we are interested in the chronicle recognition. A chronicle is a set of patterns of observable events temporally constrained. Within the framework of the diagnosis, the set of(More)
An optimally working mobile system requires tight cooperation and an information stream that flows impeccably between its components. This, however, is not the current state of the art, as applications and system components must each, in isolation, acquire data, create a knowledge base, and maintain it with diligence. We introduce chronicle recognition to(More)