Oracle America, Inc.

Travis Walker Moore

Vladimir Brayman

Ethan William Dereszynski

Weng-Keen Wong

The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign a topic or category to each of a number of events. In a described implementation, the events comprise key/value pairs. A seeded local/global-topic latent Dirichlet allocation methods is used to discover topics and assign topics to a set of events. The topic-assigned events are then processed to generate topic signatures, using which the methods and systems assign topics to subsequently received messages.

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Albany, OR, United States of America

Travis Walker Moore