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METHOD AND SYSTEM FOR DETECTING CORRELATION IN DATA SETS

  • US 20110060703A1
  • Filed: 09/04/2009
  • Published: 03/10/2011
  • Est. Priority Date: 09/04/2009
  • Status: Active Grant
First Claim
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1. A system for analyzing at least one data set, wherein a data set of the at least one data set comprises at least one object, the system comprising:

  • a memory for storing the at least one data set; and

    a processor coupled to the memory, wherein the processor is configured to;

    determine at least one parameter associated with the at least one data set at runtime, a parameter of the at least one parameter is one of a context, a weight, a time period, a strength and a relevance;

    generate at least one test data set from the at least one data set at runtime in response to determining the at least one parameter, a lest data set of the at least one test data set comprises at least one object of the at least one data set and at least one index, wherein the at least one object of the at least one test data set is associated with the at least one index;

    compute at least one correlation coefficient at runtime in response to generating the at least one test data set; and

    detect correlation corresponding to the at least one object of the at least one test data set based on the at least one correlation coefficient.

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