This invention describes a way for IT monitoring systems to automatically group related events. Instead of needing someone to write specific rules, the system looks at the details of each event, like specific data fields and their values, to create initial groupings. It then filters these initial groups based on a set threshold.
Why it matters: Filed before advanced unsupervised machine learning became widely accessible. Today, these models can more effectively identify patterns in event data to automatically group related incidents without explicit rules.
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