Patent ID: 7870084
Filing Date: 2011-01-11
Classification: G06Q

Abstract:
1. A method for generating a relational Bayesian network to model events using synthetic variables, the method comprising the steps of: accessing data from a first computer system by a first set of computer instructions stored on a computer readable medium; identifying and creating a plurality of synthetic variables from the data, wherein the identifying and creating is performed by a second set of computer instructions stored on the computer readable medium and configured to provide a language that defines the creation of the plurality of synthetic variables, wherein a representation of the language includes identifying selection phrases, wherein identifying and creating the plurality of synthetic variables includes defining a plurality of elements based on the data to form a simplified expression of queries such that each synthetic variable may be evaluated to a single value; evaluating the plurality of synthetic variables by a third set of computer instructions stored on the computer readable medium, wherein the evaluating results in a discovery of the model events; and performing parameter estimation on the model events such that various clusters of information are created, the clusters comprising various sets of related activities structured such that the stored information can be segmented for further analysis.