Patent Document ID: 20120284791
Application ID: 13465741
Patent Flag: 0

Claim One:
1. A method of prioritized, sequential anomaly detection in a collected batch of data wherein there exists a lack of knowledge as to the types of anomalies that may be present and the features by which the anomalies may be detectable, with potentially numerous raw and/or derived feature measurements, the method comprising the steps of: providing a batch of digital data samples and a plurality of candidate anomaly tests; automatically, as executed on a computer, evaluating the candidate anomalytests on each currently undetected sample in the data batch to identify a candidate test that has not been used before to make a detection but which yields a more statistically significant anomaly detection compared to any of the tests currently in use and any of the candidate tests not yet in use; and, if such a test is identified: the next detection in the sequence is the sample detected by the identified test, the sample is removed from the set of undetected samples, and the identified test is removed from the set of candidate tests not currently in use and added to the set of tests in use; or, if no such test is identified: the next detection is the sample that is the most statistically significant anomaly with respect to any of the tests in use, and this sample is removed from the set of undetected samples.