Rough set-based algorithm for discretizing continuous variables of Bayesian network

Abstract

Based on the analysis of the limitation that the discretization algorithm of Rough Set(RS)and Boolean reasoning approach did not work well in Bayesian network,a new algorithm was put forward to distinguish two samples by the value of candidate cuts,not by the intervals determined by two candidate cuts.The case study indicates that the improved algorithm can reduce preferably the space complexity and time complexity of the discretization.It is effective on discretizing continuous variables of Bayesian network.