Patent ID: 9544361
Date: 2017-01-10
CPC Classifications: G06F,G06N,H04L

Claim:
1. A computer-implemented method comprising: identifying, by a computer, a plurality of features in a data stream associated with a data source; assigning, by the computer, an initial confidence score to each respective feature of the plurality of features; determining, by the computer, a candidate score of one or more features of the plurality of features using the initial confidence score of each respective feature in the one or more features, based upon a number of occurrences of each respective feature identified in the one or more features; identifying, by the computer, an event candidate when the candidate score of the one or more features satisfies a predetermined threshold, wherein the event candidate is defined by the one or more features; automatically determining, by the computer, whether the one or more features identified in the data stream as the event candidate satisfy one or more event models in a categorization table, based upon the computer comparing the one or more features of the data stream against the one or more event models, wherein an event concept store comprises a non-transitory machine-readable memory storing the one or more event models; and responsive to the computer determining that the one or more features from the data stream fail to satisfy at least one event model in at least one categorization table stored in the event concept store: