System and Method for Generation of a Heuristic

Abstract

A system and method for generating a heuristic is provided. A heuristic is capable of identifying data patterns. The method includes: extracting a data set from multiple input sources; creating a set of unique elements used across the data set; organizing the data set into a geometric structure; grouping portions of the data in the geometric structure into a plurality sub geometric structures; determining base attributes for each sub geometric structure using the set of unique elements; identifying trends in the base attributes among the sub geometric structures; and outputting the heuristic as a combination of the base attributes and the trends.

What is claimed: 
     
         1 . A computer implemented method of generating a heuristic that is capable of identifying data patterns, comprising:
 extracting a data set from multiple input sources;   creating a set of unique elements used across the data set;   organizing the data set into a geometric structure;   grouping portions of the data in the geometric structure into a plurality of sub geometric structures;   determining base attributes for each sub geometric structure using the set of unique elements;   identifying trends in the base attributes among the sub geometric structures; and   outputting the heuristic as a combination of the base attributes and the trends.   
     
     
         2 . The computer implemented method of  claim 1 , further comprising:
 assigning a magnitude value to each element in the set of unique elements.   
     
     
         3 . The computer implemented method of  claim 2 , wherein one of the base attributes determined is a presence attribute. 
     
     
         4 . The computer implemented method of  claim 2 , wherein one of the base attributes determined is a magnitude attribute. 
     
     
         5 . The computer implemented method of  claim 2 , wherein one of the base attributes determined is a position attribute. 
     
     
         6 . The computer implemented method of  claim 2 , wherein outputs of all base attributes are normalized amongst each other. 
     
     
         7 . The computer implemented method of  claim 2 , wherein the trends are identified by using a linear progression function. 
     
     
         8 . The computer implemented method of  claim 2 , wherein the geometric structure is a two dimensional grid. 
     
     
         9 . The computer implemented method of  claim 2 , wherein the heuristic is used in a pattern recognizer to create a core cognitive fingerprint. 
     
     
         10 . The computer implemented method of  claim 2 , further comprising:
 generating a heuristic definition including references to the sub geometric structures.   
     
     
         11 . A computer system, comprising:
 a processor; and   memory coupled to the processor and storing instructions that, when executed by the processor, cause the computer system to:
 extract a data set from multiple input sources; 
 create a set of unique elements used across the data set; 
 organize the data set into a geometric structure; 
 group portions of the data in the geometric structure into a plurality of sub geometric structures; 
 determine base attributes for each sub geometric structure using the set of unique elements; 
 identify trends in the base attributes among the sub geometric structures; and 
 output the heuristic as a combination of the base attributes and the trends. 
   
     
     
         12 . The computer system of  claim 11 , wherein the memory further stores instructions to cause the processor to assign a magnitude value to each element in the set of unique elements. 
     
     
         13 . The computer system of  claim 12 , wherein one of the base attributes determined is a presence attribute. 
     
     
         14 . The computer system of  claim 12 , wherein one of the base attributes determined is a magnitude attribute. 
     
     
         15 . The computer system of  claim 12 , wherein one of the base attributes determined is a position attribute. 
     
     
         16 . The computer system of  claim 12 , wherein the memory further stores instructions to cause the processor to normalize outputs of all base attributes amongst each other. 
     
     
         17 . The computer system of  claim 12 , wherein the memory further stores instructions to cause the processor to identify the trends using a linear progression function. 
     
     
         18 . The computer system of  claim 12 , wherein the geometric structure is a two dimensional grid. 
     
     
         19 . The computer system of  claim 12 , wherein the memory further stores instructions to cause the processor to use a pattern recognizer to create a core cognitive fingerprint from the heuristic. 
     
     
         20 . The computer system of  claim 12 , wherein the memory further stores instructions to cause the processor to generate a heuristic definition including references to the sub geometric structures.