ANOMALY DETECTION IN STREAMING DATA
First Claim
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1. A method for anomaly detection in streaming data, comprising:
- applying statistical analysis to streaming data in a sliding window;
extracting a feature from the streaming data; and
determining class assignment for the feature using class conditional probability densities and a threshold.
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Abstract
Systems and methods for anomaly detection in streaming data are disclosed. An example method includes applying statistical analysis to streaming data in a sliding window. The method also includes extracting a feature. The method also includes determining class assignment for the feature using class conditional probability densities and a threshold.
42 Citations
20 Claims
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1. A method for anomaly detection in streaming data, comprising:
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applying statistical analysis to streaming data in a sliding window; extracting a feature from the streaming data; and determining class assignment for the feature using class conditional probability densities and a threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for anomaly detection in streaming data, the system including program code stored on non-transient computer-readable media and executable by a processor to:
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apply statistical analysis to streaming data in a sliding window; extract a feature; and determine class assignment for the coefficient using class conditional probability densities and a threshold. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification