Study on factors of floating women's income in Jiangsu province based on bayesian networks

Abstract

Due to the uncertainty of the factors that influence the income and other characters of floating women in Jiangsu province, we propose using Bayesian Networks to model this kind of system. We use different algorithms for learning Bayesian Networks in order to compare several models. This study of a real problem includes preliminary data processing, the comparison of different algorithms, and the role of using Bayesian Networks for social problems. We suggest that researchers can use Bayesian Networks to explore the potential relationship between variables of complex social problems. © 2010 Springer-Verlag Berlin Heidelberg.