Atos has patented a method for automatically analyzing transaction logs in distributed computing systems. The method involves cutting lines into words, constructing comparison vectors, creating patterns, and generating prediction models using artificial neural networks to predict future events. This innovation aims to improve system efficiency and performance. GlobalData’s report on Atos gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Atos, Access control systems was a key innovation area identified from patents. Atos's grant share as of January 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Method for analyzing transaction log using artificial neural network
A recently granted patent (Publication Number: US11880772B2) discloses a method for automatically analyzing transaction logs in a distributed computing system. The method involves cutting each line of the transaction log into words, comparing lines of the same size, constructing patterns, creating events based on these patterns, and training an artificial neural network to predict future events in the log. The method also includes generating a causal graph of events based on predictions and relevance conditions.
Furthermore, the method includes replacing words with descriptors, using a hash table for comparison vector construction, and utilizing an artificial neural network of the Long Short-Term Memory type. The method groups events based on patterns and cardinality, constructs numeric vectors for linguistic similarity, and incorporates an attention layer in the neural network for generating weight vectors. Relevance conditions are determined based on the weights of the weight vector, ensuring the accuracy of event predictions in the transaction log.
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