Bull Sas

Commissariat &#xc0; L'&#xc9;nergie Atomique Et Aux &#xc9;nergies Alternatives

Marc Platini

Benoît Pelletier

Benoit Pelletier

Mathieu Ospici

Loïc Pauletto

Adrien Besse

Loic Pauletto

The invention relates to a method for automatically analyzing a transaction log of a distributed computing system comprising a plurality of lines. The method includes, for each line, cutting the line into words, constructing a comparison vector by comparing the line with the other lines of the same size as the line, constructing a pattern from the comparison vector, and creating an event per pattern. The invention includes constructing a prediction model by training an artificial neural network on a group of training events, the prediction model being configured to predict the next event in the transaction log. The invention includes, for at least one event, using the prediction model to predict the event, from a group of prediction events, and generating from the prediction model, a causal graph of the event comprising a causal relation for each event of the group of prediction events responding to a relevance condition.

Method for automatically analyzing transaction logs of a distributed computing system

Disclosed is a method for training a neural network, for the recognition of a sequence of characters in an image and without a predefined format, including: a step of creating an artificial database of a plurality of sequences of characters in images, some sequences being generated randomly, other sequences being derived from transformations of sequences generated randomly; a learning step that teaches the neural network to recognize a sequence of characters in an image, directly on at least some of the sequences of the artificial database, without a preliminary subdividing of these sequences into their component characters.

Method for training a neural network for recognition of a character sequence and associated recognition method

A device (DS) monitors a process using at least one electronic device (EE-EE) in operation and generating first data of a metric. This device (DS) comprises:

Method and device for monitoring a process of generating metric data for predicting anomalies

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Grenoble, France

Marc Platini