Microsoft Technology Licensing, LLC

Daniel James Carpenter

Sudhakar Visweswara Prabhu

Ziyad Ibrahim

James David McCaffrey

Dharmanshu Kamra

Alexander Robert Paul Grenier

James David Mccaffrey

Ziyad Ahmad Ibrahim

Examples described herein generally relate to processing event logs where, for each of multiple events in an event log of the one or more event logs, a table of logged event instances can be generated for the event. For each of the multiple events, the table can be processed using an autoencoder to identify one or more of the logged event instances as anomalies, and an indication of at least a portion of the anomalies can be output. In addition, the event logs and/or corresponding tables of events can be used to train models for the autoencoders.

Techniques for detecting atypical events in event logs

Growing community of inventors

Bellevue, WA, United States of America

Daniel James Carpenter