Patent ID: 7970772
Filing Date: 2011-06-28
Classification: G06K,Y10S

Abstract:
1. A method for monitoring abnormalities in a data stream, comprising the steps of: receiving a plurality of objects in the data stream; creating one or more clusters from the plurality of objects, each of the one or more clusters comprising one or more objects of the plurality of objects, wherein at least a subset of the one or more clusters are condensed into one or more cluster droplets, a given cluster droplet storing statistical data of each cluster within the given cluster droplet; determining from the statistical data whether each of the one or more clusters is abnormal when compared to a predefined value; and reporting at least one of the one or more clusters as an abnormal cluster of objects in the data stream; wherein the statistical data of each cluster within the given cluster droplet comprises: wherein the step of creating one or more clusters further comprises: