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EVENT CORRELATION BASED ON PATTERN RECOGNITION AND MACHINE LEARNING

机译:基于模式识别与机器学习的事件相关性

摘要

A method and a system of improving correlation of events and alerts in or more enterprise networks (103) are disclosed. The method includes receiving, by a processor (402), event data from a plurality of devices (104) in the network (103), wherein the event data comprises one or more of performance metrics data, alerts data, and incident data. The event data is cleaned based on predetermined input parameters and the cleaned event data is labeled based on predetermined definitions. The method further includes performing sequence pattern identification to identify patterns in the labeled event data. The recurring identified patterns are clustered to obtain correlated events. The method includes improving the accuracy of the correlated events using reinforcement learning.
机译:公开了一种方法和改善事件相关性和警报的相关性和更高的企业网络( 103 )的相关系统。该方法包括由处理器( 402 )接收来自网络中的多个设备( 104 )的事件数据( 103 ),其中,事件数据包括性能度量数据中的一个或多个,警报数据和入射数据。基于预定的输入参数清洁事件数据,并且基于预定的定义标记清除的事件数据。该方法还包括执行序列模式识别以识别标记的事件数据中的模式。聚类重复识别的模式以获得相关事件。该方法包括利用增强学习提高相关事件的准确性。

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