A Novel Algorithm for Filling Incomplete Data Based on Attribute Reduction

DOI

10.2991/iccsee.2013.127How to use a DOI?

Keywords

attribute reduction, incomplete data, data filling

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Yang
AU  - Feng Liu
AU  - Shan Xiong Chen
AU  - Xiao Wen
PY  - 2013/03
DA  - 2013/03
TI  - A Novel Algorithm for Filling Incomplete Data Based on Attribute Reduction
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 497
EP  - 499
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.127
DO  - 10.2991/iccsee.2013.127
ID  - Yang2013/03
ER  -