Cladistics data analyzer for business data

Abstract

An analyzer system may include a computer-apparatus to collect traces from a pool of business traces, and to assign an unique vector value to each trace. The system may also include an assembler to create a tree based upon the unique vector value of each trace. The system may further include an analyzer to detect sub-trees within the tree to identify similarities among the traces based upon the traces inclusion within a given sub-tree.

1 . A system comprising:
 a computer-apparatus to collect traces from a pool of business traces, and to assign an unique vector value to each trace;   an assembler to create a hierarchical tree based upon the unique vector value of each trace; and   an analyzer to detect sub-trees within the tree to identify similarities among the traces based upon the traces' inclusion within a given branch of the tree.   
     
     
         2 . The system of  claim 1  wherein the assembler determines a distance-metric as part of the unique vector. 
     
     
         3 . The system of  claim 1  wherein the assembler assigns a unique identifier as part of the unique vector. 
     
     
         4 . The system of  claim 1  wherein the analyzer extracts data values that determine the similarities among the traces within a given branch of the tree. 
     
     
         5 . The system of  claim 1  wherein the analyzer uses the traces of a selected branch of the tree to train a machine-learning algorithm to make a prediction about the traces. 
     
     
         6 . The system of  claim 1  wherein the analyzer uses the traces of a selected branch of the tree to train a machine-learning algorithm to create an alert for the traces. 
     
     
         7 . The system of  claim 1  wherein the analyzer builds a process-model based on traces corresponding to a selected branch of the tree. 
     
     
         8 . The system of  claim 1  wherein the pool of business traces is not based upon a business model. 
     
     
         9 . The system of  claim 1  wherein the pool of business traces is not based upon cluster size. 
     
     
         10 . The system of  claim 1  wherein the assembler uses cladistics techniques to produce the tree. 
     
     
         11 . The system of  claim 10  wherein the cladistics techniques used to produce the tree comprises the neighbor-joining method. 
     
     
         12 . The system of  claim 1  wherein at least one of the assembler and the analyzer comprises a machine-component of the computer-apparatus. 
     
     
         13 - 23 . (canceled) 
     
     
         24 . A computer program product embodied in a tangible media comprising:
 computer readable program codes coupled to the tangible media to analyze business traces, the computer readable program codes configured to cause the program to:
 collect with a computer-apparatus traces from a random pool of business traces; 
 assign a unique vector value to each trace; 
 create a hierarchal tree based upon the unique vector value of each trace; and 
 generate an output by detecting sub-trees within the tree to identify similarities among the traces based upon the traces inclusion within a given branch of the tree. 
   
     
     
         25 . The computer program product of  claim 24  further comprising program code configured to: extract data values that determine the similarities among the traces within a given branch of the tree.