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MACHINE LEARNING SEMANTIC MODEL

  • US 20140046879A1
  • Filed: 08/13/2013
  • Published: 02/13/2014
  • Est. Priority Date: 08/13/2012
  • Status: Abandoned Application
First Claim
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1. A computer-implemented method, the method comprising:

  • specifying a business problem to determine a probability of an event occurring in which the business problem includes a constraint;

    selecting a data source for a predictive model associated with a predictive algorithm in which the predictive model includes one or more queries and parameters;

    determining a set of transformations based on the queries and parameters for at least a subset of data from the data source to be processed by the predictive algorithm;

    identifying a set of patterns based on the set of transformations for at least the subset of data from the data source; and

    providing a trained predictive model including the determined set of patterns, the set of transformations, and the associated predictive algorithm for solving the specified business problem.

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