A Hybrid Feature Selection Algorithm Based on the Rough Set Theory
Peng Jia-hong · Computer Engineering and Science · 2005
In this paper,based on the Minimum Different List(MDL) of the rough set theory,we build a Simple Different Matrix(SMD) which is similar to MDL using the incremental representation.From the approximate reduction set of SDM,we implement the forward selection of the attribute subspace.Finally,a hybrid feature selection algorithm based on the rough set theory has been proposed,and the result shows that the efficiency and accuracy of feature selection have been improved greatly by this approach.What is more,the algorithm does well in the preprocessing of data mining.