Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

A Novel Algorithm for Filling Incomplete Data Based on Attribute Reduction

Authors
Yang Yang, Feng Liu, Shan Xiong Chen, Xiao Wen
Corresponding Author
Yang Yang
Available Online March 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - https://doi.org/10.2991/iccsee.2013.127
ID  - Yang2013/03
ER  -