Abstract

Presented herein is a novel machine learning approach that learns the failure patterns of a device and uses this information to drive automatic root case identification. Anomalous events can be associated with potential root causes in order to build intellectual capital for training future predictive automated remediation systems.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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