Other

Splunk Inc.

Splunkinc.

Jonathan La

Adam Jamison Oliner

Jacob Barton Leverich

Manish Sainani

Hongyang Zhang

Alex Cruise

Toufic Boubez

Shang Cai

Mihai Ganea

Colleen Kinross

In some implementations, sequences of time series values determined from machine data are obtained. Each sequence corresponds to a respective time series. A plurality of predictive models is generated for a first time series from the sequences of time series values. Each predictive model is to generate predicted values associated with the first time series using values of a second time series. For each of the plurality of predictive models, an error is determined between the corresponding predicted values and values associated with the first time series. A predictive model is selected for anomaly detection based on the determined error of the predictive model. Transmission is caused of an indication of an anomaly detected using the selected predictive model.

Predictive model selection for anomaly detection

Detection of anomalies in a time series using values of a different time series

Anomaly detection based on relationships between multiple time series

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San Francisco, CA, United States of America

Jonathan La