Patent ID: 8751414
Filing Date: 2014-06-10
Classification: G06F

Abstract:
1. A method for identifying abnormalities in data, the method comprising: retrieving a model representing a plurality of modes for an activity generated from training data comprising a first plurality of measurements of a first performance of the activity over a period of time, wherein each of the plurality of modes is identified as one of normal and abnormal; receiving activity data comprising a second plurality of measurements of a second performance of the activity; comparing a portion of the activity data with the plurality of modes in the model; responsive to identifying that the portion of the activity data matches a mode in the plurality of modes that is identified as abnormal, generating a notification of an abnormality in the second performance of the activity and requesting confirmation of the abnormality via a user interface; identifying the plurality of modes for the activity from the training data, wherein a first mode in the plurality of modes comprises a range in measurements expected during performance of the activity; receiving an indication of whether the first mode in the plurality of modes is one of normal and abnormal; and storing the first mode and the indication in association with the model in a storage device.