@article{ART002707589},
author={Kim Youngok and Kwon, Ki Tae},
title={Predicting a combination of the key attributes using CfsSubsetEval attribute selector},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2012},
volume={8},
number={2},
pages={37-43}
TY - JOUR
AU - Kim Youngok
AU - Kwon, Ki Tae
TI - Predicting a combination of the key attributes using CfsSubsetEval attribute selector
JO - Journal of Software Assessment and Valuation
PY - 2012
VL - 8
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 37
EP - 43
SN - 2092-8114
AB - Feature selection is the one of important issues in the field of machine learning and pattern recognition.
It is the technique to find a subset from the source data and can give the best classification performance.
Ie, it is the technique to extract the subset closely related to the purpose of the classification. In this paper, we experimented to select the best feature subset for improving classification accuracy when classify success and failure factors in software reuse. And we compared with existing studies. As a result, we found that a feature subset was selected in this study showed the better classification accuracy.
KW -
DO -
UR -
ER -
Kim Youngok and Kwon, Ki Tae. (2012). Predicting a combination of the key attributes using CfsSubsetEval attribute selector. Journal of Software Assessment and Valuation, 8(2), 37-43.
Kim Youngok and Kwon, Ki Tae. 2012, "Predicting a combination of the key attributes using CfsSubsetEval attribute selector", Journal of Software Assessment and Valuation, vol.8, no.2 pp.37-43.
Kim Youngok, Kwon, Ki Tae "Predicting a combination of the key attributes using CfsSubsetEval attribute selector" Journal of Software Assessment and Valuation 8.2 pp.37-43 (2012) : 37.
Kim Youngok, Kwon, Ki Tae. Predicting a combination of the key attributes using CfsSubsetEval attribute selector. 2012; 8(2), 37-43.
Kim Youngok and Kwon, Ki Tae. "Predicting a combination of the key attributes using CfsSubsetEval attribute selector" Journal of Software Assessment and Valuation 8, no.2 (2012) : 37-43.
Kim Youngok; Kwon, Ki Tae. Predicting a combination of the key attributes using CfsSubsetEval attribute selector. Journal of Software Assessment and Valuation, 8(2), 37-43.
Kim Youngok; Kwon, Ki Tae. Predicting a combination of the key attributes using CfsSubsetEval attribute selector. Journal of Software Assessment and Valuation. 2012; 8(2) 37-43.
Kim Youngok, Kwon, Ki Tae. Predicting a combination of the key attributes using CfsSubsetEval attribute selector. 2012; 8(2), 37-43.
Kim Youngok and Kwon, Ki Tae. "Predicting a combination of the key attributes using CfsSubsetEval attribute selector" Journal of Software Assessment and Valuation 8, no.2 (2012) : 37-43.
