Minimization of surprisal context data through application of customized surprisal context filters
Patent No. 9,053,192
Issued: June 9, 2015
Inventor: Adams; Samuel S. (Rutherfordton, NC), Friedlander; Robert R.
(Southbury, CT), Kraemer; James R. (Santa Fe, NM)
A method, system, and computer program product for minimizing surprisal context data. The method includes the steps of: identifying characteristics of a data event; receiving an input of rank of at least two identified characteristics of the data event; generating a hierarchy of ranked, identified characteristics based on the rank of the identified characteristics of the data event; and comparing the hierarchy of ranked, identified characteristics to a repository of characteristic context patterns. If at least one reference artifact of the characteristic context pattern matches the hierarchy of ranked, identified characteristics, the characteristic context pattern is broken into pieces, storing the pieces that matched the hierarchy. The stored pieces are then combined into a surprisal context filter pattern with context determined to be probabilistically present within a specified degree of certainty in a data input and compared to a data input of data events to detect anomalous events.
Reference to Related Applications
This application is a continuation-in-part of pending application Ser. No. 13/922,625, filed Jun. 20, 2013, entitled "MINIMIZATION OF SURPRISAL CONTEXT DATA THROUGH APPLICATION OF A HIERARCHY OF REFERENCE ARTIFACTS" which is a continuation-in-part of copending application Ser. No. 13/903,488, filed May 28, 2013, entitled "DISCOVERY OF UNUSUAL, UNEXPECTED, OR ANOMALOUS INFORMATION AND TRENDS IN HIGH THROUGHPUT DATA STREAMS AND DATABASES USING PROBABILISTIC SURPRISAL CONTEXT FILTERS". The aforementioned applications are hereby incorporated herein by reference.
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