Patent ID: 7177864
Filing Date: 2007-02-13
Classification: G06F,Y10S

Abstract:
1. A computer-implemented method for analyzing a data source to find association relationships between attributes recorded in the data source, comprising: (a) receiving two or more data records, each record containing one or more of attributes of interest; (b) defining at least two attribute k-patterns by reference to a subset of the attributes, where k is an integer and represents the number of attributes that are included in a k-pattern and k is assigned at least two non-zero integer values; (c) using an invertible, mathematically closed-form mapping algorithm, in the form of: where: S is any number used as an offset, including 0; k is an integer >0; α is an integer index of summation >0 and less than or equal to k; w (d) determining a distribution pattern for each of the at least two attribute k-patterns defined in step (b); (e) inverting the mapping to decode from the keys to the associated attribute k-pattern; and (f) using the keys, associating the distribution patterns determined with each of the at least two attribute k-patterns.