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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