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Systems and methods for generating sets of model objects having data messaging pipes

  • US 8,365,195 B2
  • Filed: 08/31/2009
  • Issued: 01/29/2013
  • Est. Priority Date: 08/31/2009
  • Status: Active Grant
First Claim
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1. A method comprising:

  • invoking an application, the application comprising a set of application data, wherein the application data comprises a cellular array format;

    selecting a plurality of sets of cells of the application data;

    extracting a set of data elements for each set of cells and a set of functional relationships for each set of cells, the set of functional relationships describing relationships between values of the set of data elements that corresponds to the set of functional relationships;

    encapsulating the set of data elements and the corresponding set of functional relationships for each set of cells to create a plurality of predictive model objects, the plurality of predictive model objects comprising a predictive model object encoded in extensible markup language (XML) format for each set of cells;

    establishing a plurality of data messaging pipes between the plurality of predictive model objects to link each of the plurality of predictive model objects to each other;

    importing, by one of the plurality of predictive model objects using one of the plurality of data messaging pipes, the set of cells of the application data that is associated with another predictive model object from the other predictive model object;

    operating, by the one predictive model object, on the set of cells of the application data received from the other predictive model object to generate a data result; and

    sending, by the one predictive model object using the one of the plurality of data messaging pipes, the data result to the other predictive model object.

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