Patent ID: 9098553
Filing Date: 2015-08-04
Classification: G06F,G06K,G06N,H04L

Abstract:
1. A method for detecting the presence of an activity, the method comprising the steps of: (a) calculating, using a processor, for each entity in a plurality of entities: and (b) selecting, using the processor, a first entity from the plurality of entities, wherein the selecting is based at least in part on the activity confidence score for the first entity, wherein the calculation of the peer comparison score includes the steps of: (A) generating, using the processor, an individual model for the first entity wherein the individual model is based on at least one of a data stream for the first entity and an impact variable for the first entity; (B) assigning, using the processor, the first entity to one or more clusters in a first set of clusters, wherein the assigning to the one or more clusters in the first set of clusters is based on the individual model for the first entity; (C) assigning, using the processor, the first entity to one or more clusters in a second set of clusters, wherein the assigning to the one or more clusters in the second set of clusters is based on a set of external data for the first entity; (D) correlating, using the processor, the assigning of the first entity to one or more clusters in the first set of clusters with the assigning of the first entity to one or more clusters in the second set of clusters, wherein the results of the correlation are used to refine the assigning of the first entity to the second set of clusters; and (E) assigning, using the processor, the first entity to at least one peer group, wherein the assigning to the at least one peer group is based at least in part on the results of the correlation.