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@article{ART001629945},
author={Suk-Hyung Hwang and Eunghee Kim},
title={A FCA-based Classification Approach for Analysis of Interval Data},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2012},
volume={17},
number={1},
pages={19-30}

TY - JOUR
AU - Suk-Hyung Hwang
AU - Eunghee Kim
TI - A FCA-based Classification Approach for Analysis of Interval Data
JO - Journal of The Korea Society of Computer and Information
PY - 2012
VL - 17
IS - 1
PB - The Korean Society Of Computer And Information
SP - 19
EP - 30
SN - 1598-849X
AB - Based on the internet-based infrastructures such as various information devices, social network systems and cloud computing environments, distributed and sharable data are growing explosively. Recently, as a data analysis and mining technique for extracting, analyzing and classifying the inherent and useful knowledge and information, Formal Concept Analysis on binary or many-valued data has been successfully applied in many diverse fields. However, in formal concept analysis, there has been little research conducted on analyzing interval data whose attributes have some interval values. In this paper, we propose a new approach for classification of interval data based on the formal concept analysis. We present the development of a supporting tool(iFCA) that provides the proposed approach for the binarization of interval data table, concept extraction and construction of concept hierarchies. Finally, with some experiments over real-world data sets, we demonstrate that our approach provides some useful and effective ways for analyzing and mining interval data.
KW - Classification;Interval Data;Formal Concept Analysis;Binarization
DO -
UR -
ER -

Suk-Hyung Hwang and Eunghee Kim. (2012). A FCA-based Classification Approach for Analysis of Interval Data. Journal of The Korea Society of Computer and Information, 17(1), 19-30.

Suk-Hyung Hwang and Eunghee Kim. 2012, "A FCA-based Classification Approach for Analysis of Interval Data", Journal of The Korea Society of Computer and Information, vol.17, no.1 pp.19-30.

Suk-Hyung Hwang, Eunghee Kim "A FCA-based Classification Approach for Analysis of Interval Data" Journal of The Korea Society of Computer and Information 17.1 pp.19-30 (2012) : 19.

Suk-Hyung Hwang, Eunghee Kim. A FCA-based Classification Approach for Analysis of Interval Data. 2012; 17(1), 19-30.

Suk-Hyung Hwang and Eunghee Kim. "A FCA-based Classification Approach for Analysis of Interval Data" Journal of The Korea Society of Computer and Information 17, no.1 (2012) : 19-30.

Suk-Hyung Hwang; Eunghee Kim. A FCA-based Classification Approach for Analysis of Interval Data. Journal of The Korea Society of Computer and Information, 17(1), 19-30.

Suk-Hyung Hwang; Eunghee Kim. A FCA-based Classification Approach for Analysis of Interval Data. Journal of The Korea Society of Computer and Information. 2012; 17(1) 19-30.

Suk-Hyung Hwang, Eunghee Kim. A FCA-based Classification Approach for Analysis of Interval Data. 2012; 17(1), 19-30.

Suk-Hyung Hwang and Eunghee Kim. "A FCA-based Classification Approach for Analysis of Interval Data" Journal of The Korea Society of Computer and Information 17, no.1 (2012) : 19-30.