TY - GEN
T1 - Imbalanced data classification using reduced multivariate polynomial
AU - Woo, Seongyoun
AU - Lee, Chulhee
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - In this paper, a weighted reduced multivariate polynomial for class imbalance learning is proposed. When there is a large variation in the numbers of available class samples, class distribution is said to be imbalanced. In such cases, conventional classifiers may classify most samples as majority classes to maximize the classification accuracy, which may not be desirable in some applications. Thus, for imbalanced data classification, an additional algorithm may be required to address low representation of minority classes when the classification performance of those classes is important. We used weighted ridge regression for class imbalanced data classification. Experimental results with the UCI database show improved classification of the minority classes.
AB - In this paper, a weighted reduced multivariate polynomial for class imbalance learning is proposed. When there is a large variation in the numbers of available class samples, class distribution is said to be imbalanced. In such cases, conventional classifiers may classify most samples as majority classes to maximize the classification accuracy, which may not be desirable in some applications. Thus, for imbalanced data classification, an additional algorithm may be required to address low representation of minority classes when the classification performance of those classes is important. We used weighted ridge regression for class imbalanced data classification. Experimental results with the UCI database show improved classification of the minority classes.
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U2 - 10.1117/12.2224452
DO - 10.1117/12.2224452
M3 - Conference contribution
AN - SCOPUS:84991516773
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Remotely Sensed Data Compression, Communications, and Processing XII
A2 - Lee, Chulhee
A2 - Huang, Bormin
A2 - Chang, Chein-I
PB - SPIE
T2 - Remotely Sensed Data Compression, Communications, and Processing XII
Y2 - 20 April 2016 through 21 April 2016
ER -