TY - GEN

T1 - NNRMLR

T2 - 1st IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012

AU - Hirose, Hideo

AU - Soejima, Yusuke

AU - Hirose, Kei

PY - 2012

Y1 - 2012

N2 - To predict the continuous value of target variable using the values of explanation variables, we often use multiple linear regression methods, and many applications have been successfully reported. However, in some data cases, multiple linear regression methods may not work because of strong local dependency of target variable to explanation variables. In such cases, the use of the k nearest-neighbor method (k-NN) in regression can be an alternative. Although a simple k-NN method improves the prediction accuracy, a newly proposed method, a combined method of k-NN regression and the multiple linear regression methods (NNRMLR), is found to show prediction accuracy improvement. The NNRMLR is essentially a nearest-neighbor method assisted with the multiple linear regression for evaluating the distances. As a typical useful example, we have shown that the prediction accuracy of the prices for auctions of used cars is drastically improved.

AB - To predict the continuous value of target variable using the values of explanation variables, we often use multiple linear regression methods, and many applications have been successfully reported. However, in some data cases, multiple linear regression methods may not work because of strong local dependency of target variable to explanation variables. In such cases, the use of the k nearest-neighbor method (k-NN) in regression can be an alternative. Although a simple k-NN method improves the prediction accuracy, a newly proposed method, a combined method of k-NN regression and the multiple linear regression methods (NNRMLR), is found to show prediction accuracy improvement. The NNRMLR is essentially a nearest-neighbor method assisted with the multiple linear regression for evaluating the distances. As a typical useful example, we have shown that the prediction accuracy of the prices for auctions of used cars is drastically improved.

UR - http://www.scopus.com/inward/record.url?scp=84870820109&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870820109&partnerID=8YFLogxK

U2 - 10.1109/IIAI-AAI.2012.76

DO - 10.1109/IIAI-AAI.2012.76

M3 - Conference contribution

AN - SCOPUS:84870820109

SN - 9780769548265

T3 - Proceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012

SP - 351

EP - 356

BT - Proceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012

Y2 - 20 September 2012 through 22 September 2012

ER -