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United States Patent Application 20110208495  
Kind Code  A1  
YUTA; Kohtarou  August 25, 2011  


METHOD, SYSTEM, AND PROGRAM FOR GENERATING PREDICTION MODEL BASED ON MULTIPLE REGRESSION ANALYSIS 


Abstract
A prediction model having high prediction accuracy for the prediction of a dependent variable is generated based on multiple regression analysis. The method includes: a) constructing an initial sample set from samples 
for each of which the measured value of the dependent variable is known; b) generating a multiple regression equation by performing multiple regression analysis on the sample set; c) calculating a residual value for 
each sample based on the multiple regression equation; d) identifying, based on the residual value, a sample that fits the multiple regression equation; e) constructing a new sample set by removing the identified 
sample from the initial sample set; and f) replacing the initial sample set by the new sample set, and repeating from a) to e), thereby generating a plurality of multiple regression equations and identifying a sample 
to which the multiple regression equation is applied. 


Inventors: YUTA; Kohtarou; (Kawasaki, JP)  
Assignee: Fujitsu Limited
Kawasaki
JP

 
Serial No.:  019641 
Series Code:  13  
Filed:  February 2, 2011 

Current U.S. Class: 703/2  
Class at Publication: 703/2  
International Class:  G06F 17/10 20060101 G06F017/10