A Novel Algorithm for Filling Incomplete Data Based on Attribute Reduction
Yang Yang, Feng Liu, Shan Xiong Chen, Xiao Wen · Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) · 2013
Traditional data filling algorithms take the unified method to fill the incomplete data, leading to the low efficiency for filling a large number of incomplete data.This paper proposes a novel algorithm for filling incomplete data based on attribute reduction.The presented algorithm first uses the attribute reduction to distinguish the important attribute from unimportant attribute, and then fills the two kinds of data attributes using different filling technologies.Experiments show that this algorithm can effectively and quickly fill the large-scale incomplete data.