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MACHINE LEARNING-BASED ISSUE CLASSIFICATION UTILIZING COMBINED REPRESENTATIONS OF SEMANTIC AND STATE TRANSITION GRAPHS
MACHINE LEARNING-BASED ISSUE CLASSIFICATION UTILIZING COMBINED REPRESENTATIONS OF SEMANTIC AND STATE TRANSITION GRAPHS
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机译：利用语义和状态转换图的组合表示基于机器学习的问题分类
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摘要
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摘要
An apparatus comprises a processing device configured to obtain, for a given issue associated with one or more assets of an information technology infrastructure, a description of the given issue and system logs characterizing operation of the one or more assets. The processing device is also configured to generate one or more semantic graphs characterizing the description of the given issue and one or more state transition graphs characterizing a sequence of occurrence of states of the operation of the one or more assets. The processing device is further configured to provide a combined representation of the semantic and state transition graphs for the given issue to a machine learning model, to identify recommended classifications for the given issue based on an output of the machine learning model, and to initiate remedial action in the information technology infrastructure based on the recommended classifications for the given issue.
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