Efficient Imputation Method for Missing Data Focusing on Local Space Formed by Hyper-Rectangle Descriptors

Do Kim, Jin Choi

2019

Abstract

In real world data set, there might be missing data due to various reasons. These missing values should be handled since most data analysis methods are assuming that data set is complete. Data deletion method can be simple alternative, but it is not suitable for data set with many missing values and may be lack of representativeness. Furthermore, existing data imputation methods are usually ignoring the importance of local space around missing values which may influence quality of imputed values. Based on these observations, we suggest an imputation method using Hyper-Rectangle Descriptor (ܪܴܦ) which can focus on local space around missing values. We describe how data imputation can be carried out by using ܪܴܦ, named ܪܴܦ_݅݉݌ݑݐ݁, and validate the performance of proposed imputation method with a numerical experiment by comparing to imputation results without ܪܴܦ. Also, as a future work, we depict some ideas for further development of our work.

Paper Citation

in Harvard Style

Kim D. and Choi J. (2019). Efficient Imputation Method for Missing Data Focusing on Local Space Formed by Hyper-Rectangle Descriptors.In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-352-0, pages 467-472. DOI: 10.5220/0007582104670472

in Bibtex Style

@conference{icores19,
author={Do Kim and Jin Choi},
title={Efficient Imputation Method for Missing Data Focusing on Local Space Formed by Hyper-Rectangle Descriptors},
booktitle={Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2019},
pages={467-472},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007582104670472},
isbn={978-989-758-352-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Efficient Imputation Method for Missing Data Focusing on Local Space Formed by Hyper-Rectangle Descriptors
SN - 978-989-758-352-0
AU - Kim D.
AU - Choi J.
PY - 2019
SP - 467
EP - 472
DO - 10.5220/0007582104670472