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Lecture Notes in Computer Science
This paper introduces an intelligent system that performs alarm correlation and root cause analysis. The system is designed to operate in largescale heterogeneous networks from telecommunications operators. The proposed architecture includes a rules management module that is based in data mining (to generate the rules) and reinforcement learning (to improve rule selection) algorithms. In this work, we focus on the design and development of the rule generation part and test it using a largedoi:10.1007/978-3-642-04686-5_32 fatcat:yvk5v23uynduzajtixdbttefsy