Improved Algorithm Based on CACC for Discretization of Continuous Data
Dan Wu · Jisuanji gongcheng · 2013
Aiming at the problem that rough set and the main machine learning algorithms can not efficiently handle continuous data,this paper presents an improved CACC algorithm for discretization of the continuous data.This algorithm adopts the CACC standard to select breakpoints to increase constraints on data inconsistency,thereby reducing the amount of information loss.Simulation results show that the algorithm outperforms the corresponding algorithms,such as Modified Chi2,Extent-Chi2,CAIM,CACC,through the C4.5 and SVM algorithm validation,the maximum amplitude of data recognition rate and accuracy is increased by 8%.