Methodologies for Variables Selection in Data Mining and Applications in Health Food Market Research

The purpose of data mining is to extract some accurate knowledge between the huge data set,the key to analyze problem is to pick up suitable variables reasonably and quickly,but along with the difficulty that different data mining technologies will bring different variables.This paper will compare the effect of picking variables of different data mining model through simulation,do demonstration in health food market,and discuss the defects in currently methods for choosing variables in data mining and its future research direction.