Complex Event Processing (CEP) systems aim at processing large flows of events to
discover situations of interest. In CEP, the processing takes place according to user-defined …

Today's organizations require techniques for automated transformation of their large data
volumes into operational knowledge. This requirement may be addressed by using event …

Industrial plant safety involves integrated management of all the factors that may cause
accidents. Process alarm management can be formulated as a pattern recognition problem …

Today's organisations require techniques for automated transformation of the large data
volumes they collect during their operations into operational knowledge. This requirement …

Chronicle recognition is an efficient and robust method for fault diagnosis. The knowledge
about the underlying system is gathered in a set of chronicles, then the occurrence of a fault …

While modern networks and services are continuously growing in scale, complexity and
heterogeneity, the management of such systems is reaching the limits of human capabilities …

We introduce a temporal pattern model called Temporal Tree Associative Rule (TTA rule).
This pattern model can be used to express both uncertainty and temporal inaccuracy of …

L'analyse de flux d'évènements pour reconnaître des comportements complexes prédéfinis
(Complex Event Processing–CEP) permet d'interpréter et de réagir à des quantités …

We describe a pre-processing technique for mining a telecommunication alarm log for
frequent temporal patterns. The method consists in extracting relevant subsets from the …

In this paper we shall introduce an approach that forms a basis for temporal data mining. A
relation algebra is applied for the purpose of representing simultaneously dependencies …