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The document summarizes the NETEXTRACT project which aimed to extract belief networks from telecommunications network event log data. It developed an architecture including components for extracting relation data from text files, machine learning algorithms for extracting Bayesian networks, and an expert system for using extracted networks. The project worked with Northern Telecom to help understand complex network behavior during faults by analyzing event logs using probabilistic graphical models like Baye

Author

nsantos5847

Language

EN