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System and method for data mining from relational data by sieving through iterated relational reinforcement

  • US 5,884,305 A
  • Filed: 06/13/1997
  • Issued: 03/16/1999
  • Est. Priority Date: 06/13/1997
  • Status: Expired due to Fees
First Claim
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1. A method for extracting elements satisfying a predetermined criterion of correlation (a "categorical cluster") from a body of data, the data including a plurality of records, the records containing elements from among a set of common fields, the elements having respective values, some of the values being common to different ones of the records, the method comprising the steps of:

  • initializing an associated value for each of the elements of the records;

    performing a computation to update the associated values based on the associated values of other elements, the computation causing the associated values to change value in a manner related to a degree of correlation; and

    deriving, from the updated associated values, a categorical cluster rule which identifies highly correlated elements.

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