TY - GEN
T1 - Evaluations of a multiple SOMs method for estimating missing values
AU - Arima, Kouki
AU - Okada, Nobuhiro
AU - Tsuji, Yasutaka
AU - Kiguchi, Kazuo
N1 - Publisher Copyright:
© 2014 IEEE.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2014/1/30
Y1 - 2014/1/30
N2 - Data mining, which is a technique to extract variable information from enormous data, becomes more and more important. Real data often has missing values. Therefore, a method for estimating the missing data is required in application of data mining. Using multiple self-organizing maps (MSOM) proposed by Kikuchi et al. is one of such estimating method. This method does not need a concrete mathematical model and is also available for nonlinear data. However the performance for various missing patterns were unclear, in addition, the comparisons with conventional imputation methods were not provided. This paper demonstrates the performance and the comparison results through simulation experiments with various missing patterns and conventional methods.
AB - Data mining, which is a technique to extract variable information from enormous data, becomes more and more important. Real data often has missing values. Therefore, a method for estimating the missing data is required in application of data mining. Using multiple self-organizing maps (MSOM) proposed by Kikuchi et al. is one of such estimating method. This method does not need a concrete mathematical model and is also available for nonlinear data. However the performance for various missing patterns were unclear, in addition, the comparisons with conventional imputation methods were not provided. This paper demonstrates the performance and the comparison results through simulation experiments with various missing patterns and conventional methods.
UR - http://www.scopus.com/inward/record.url?scp=84946690217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946690217&partnerID=8YFLogxK
U2 - 10.1109/SII.2014.7028140
DO - 10.1109/SII.2014.7028140
M3 - Conference contribution
AN - SCOPUS:84946690217
T3 - 2014 IEEE/SICE International Symposium on System Integration, SII 2014
SP - 796
EP - 801
BT - 2014 IEEE/SICE International Symposium on System Integration, SII 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE/SICE International Symposium on System Integration, SII 2014
Y2 - 13 December 2014 through 15 December 2014
ER -