TY - GEN
T1 - ASIC
T2 - ICSC 2007 International Conference on Semantic Computing
AU - Xie, Zongxing
AU - Quirino, Thiago
AU - Shyu, Mei Ling
AU - Chen, Shu Ching
PY - 2007
Y1 - 2007
N2 - In this paper, a supervised multi-class classification approach called Adaptive Selection of Information Components (ASIC) is presented. ASIC has the facilities to (i) handle both numerical and nominal features in a data set, (ii) pre-process the training data set to accentuate the spatial differences among the classes in the training data set to reduce further computational load requirements, and (iii) conduct supervised classification with the C-RSPM (Collateral Representative Subspace Projection Modeling) approach. Experimental results on a variety of data sets have shown that the proposed ASIC approach outperforms other well-known supervised classification methods such as C4.5, KNN, SVM, MLP, BN, RF, Logistic, and C-RSPM, with higher classification accuracy, lower training and classification times, and reduced memory storage and processing power requirements.
AB - In this paper, a supervised multi-class classification approach called Adaptive Selection of Information Components (ASIC) is presented. ASIC has the facilities to (i) handle both numerical and nominal features in a data set, (ii) pre-process the training data set to accentuate the spatial differences among the classes in the training data set to reduce further computational load requirements, and (iii) conduct supervised classification with the C-RSPM (Collateral Representative Subspace Projection Modeling) approach. Experimental results on a variety of data sets have shown that the proposed ASIC approach outperforms other well-known supervised classification methods such as C4.5, KNN, SVM, MLP, BN, RF, Logistic, and C-RSPM, with higher classification accuracy, lower training and classification times, and reduced memory storage and processing power requirements.
UR - http://www.scopus.com/inward/record.url?scp=47749107229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47749107229&partnerID=8YFLogxK
U2 - 10.1109/ICSC.2007.52
DO - 10.1109/ICSC.2007.52
M3 - Conference contribution
AN - SCOPUS:47749107229
SN - 0769529976
SN - 9780769529974
T3 - ICSC 2007 International Conference on Semantic Computing
SP - 527
EP - 534
BT - ICSC 2007 International Conference on Semantic Computing
Y2 - 17 September 2007 through 19 September 2007
ER -