Method and Apparatus for Interpreting Information

Abstract

A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of: (i) inputting a series of inputs to the data classifier so as to obtain a series of corresponding outputs; (ii) inputting said series of outputs and at least some of said series of inputs to the rule inducer so as to obtain a series of rules which describe relationships between the series of inputs to the data classifier and the series of corresponding outputs from the data classifier.

1 . A method, comprising: 
 generating classification outputs from a first data classifier based on first data elements,    using the classification outputs and the first data elements to generate rules relating the first data elements and the classification outputs.    
   
   
       2 . The method of  claim 1 , wherein the first data elements include data based on usage of a telecommunications network.  
   
   
       3 . The method of  claim 2 , wherein the data include call detail records.  
   
   
       4 . The method of  claim 1 , wherein the first data classifier includes at least one of: a neural network, an unsupervised classifier, and a Bayesian classifier.  
   
   
       5 . The method of  claim 1 , wherein generating rules includes: 
 combining the first data elements and the corresponding classification outputs.    
   
   
       6 . The method of  claim 1 , further comprising: 
 based on the generated rules, generating a second data classifier.    
   
   
       7 . A system, comprising: 
 a first data classifier configured to generate, based on first data elements, classification outputs, and    a rule inducer configured to use the first data elements and the classification outputs to generate rules relating the first data elements and the classification outputs.    
   
   
       8 . The system of  claim 7 , wherein the first data elements include data based on usage of a telecommunications network.  
   
   
       9 . The system of  claim 8 , wherein the data include call detail records.  
   
   
       10 . The system of  claim 7 , wherein the data classifier includes at least one of: a neural network, an unsupervised classifier, and a Bayesian classifier.  
   
   
       11 . The system of  claim 7 , further comprising: 
 a second data classifier based on the rules.    
   
   
       12 . A processor program for classifying data, the processor program disposed on a processor-readable medium and comprising instructions to cause a processor to: 
 generate classification outputs based on first data elements provided to a first data classifier, and    generate rules relating the first data elements and the classification outputs, based on the first data elements and the classification outputs.    
   
   
       13 . The processor program of  claim 12 , wherein the first data elements include data based on usage of a telecommunications network.  
   
   
       14 . The processor program of  claim 12 , further comprising instructions to cause to a processor to: 
 generate a second data classifier based on the rules.    
   
   
       15 . The processor program of  claim 12 , where the first data classifier is at least one of: a neural network, an unsupervised classifier, and a Bayesian classifier.