Multi-regime detection in streaming data
AssigneeHewlett-Packard Development Company, L.P.
InventorsChoudur Lakshminarayan, Alexander Singh Alvarado, Evan Kriminger
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Abstract
Systems and methods for multi-regime detection in streaming data are disclosed. An example method includes generating vectors for each sample of the streaming data. The method also includes inducing mean independence of the vectors to find an embedded data trajectory. The method also includes comparing the embedded data trajectory with known data trajectories. The method also includes issuing an alert if the embedded data trajectory corresponds to a known data trajectory indicating an anomaly in the streaming data.
Claims20
A method stored as program code stored on a non-transient computer-readable medium and executable by a processor for multi-regime detection in streaming data, the method when executed by a processor comprising:
- generating vectors for each sample of the streaming data;
- inducing mean independence of the vectors to find an embedded data trajectory;
- comparing the embedded data trajectory with known data trajectories;
- and
- issuing an alert if the embedded data trajectory corresponds to a known data trajectory indicating an anomaly in the streaming data so that corrective action can be taken before the anomaly leads to a disruption.
A system for multi-regime detection in streaming data, the system including program code stored on non-transient computer-readable media and executable by a processor to:
- generate vectors for each sample of multi-dimensional streaming data;
- induce mean independence of the vectors and find an embedded data trajectory;
- compare the embedded data trajectory with known data trajectories;
- and
- issue an alert if the embedded data trajectory corresponds to a known data trajectory indicating an anomaly in the streaming data.
Dependencies are inferred from the claim text.