Computing US 12,602,397 B1 Not in force

Clustering in association with extraction rules

This invention helps people make sense of large amounts of event data, like machine logs. It first shows you groups of events, and then you tell the system what specific details or patterns to look for within those events. The system then uses your instructions to re-group the data, showing you new, more refined clusters based on what you care about. The first claim narrows this to raw machine data.

Why it matters: Filed before the widespread application of advanced AI and large language models, which could now significantly enhance the system's ability to automatically suggest or generate complex extraction rules from raw machine data or user interactions, making the process more intuitive and powerful.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, user interface, data processing, clustering algorithms.

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