@article{ART001646406},
author={강유경 and Suk-Hyung Hwang and Eunghee Kim and 엄태정},
title={A Study on Data Analysis Approach based on Granular Concept Hierarchies},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2012},
volume={17},
number={3},
pages={121-133}
TY - JOUR
AU - 강유경
AU - Suk-Hyung Hwang
AU - Eunghee Kim
AU - 엄태정
TI - A Study on Data Analysis Approach based on Granular Concept Hierarchies
JO - Journal of The Korea Society of Computer and Information
PY - 2012
VL - 17
IS - 3
PB - The Korean Society Of Computer And Information
SP - 121
EP - 133
SN - 1598-849X
AB - In this paper, we propose a novel data analysis approach that extracts granules suitable for various perspectives by introducing scaling level into formal concept analysis in order to control the level of granularity. Based on our approach, we can extract various granules from the given data set and constructs granular concept hierarchies based on the relations between the granules. Therefore, we can classify the given data with respect to the purpose or the intention of user's viewpoints. And, we developed G-Tool that supports our approach. In order to verify the usefulness of our proposed approach and G-Tool, we have done some experiments for real data set and reported about results of our experiments. From the experiments' results, we can verify our approach with G-Tool can be useful and suitable for classifying the given data with various scaling levels. The traditional formal concept analysis cannot control the level of granularity and can only classify for a particular perspective. However, our proposed approach can classify the given data with respect to user's purpose or intention by combining of diverse scale information and scaling levels.
KW - Granular Computing;Formal Concept Analysis;Conceptual Classification;Granular Concept Hierarchy
DO -
UR -
ER -
강유경, Suk-Hyung Hwang, Eunghee Kim and 엄태정. (2012). A Study on Data Analysis Approach based on Granular Concept Hierarchies. Journal of The Korea Society of Computer and Information, 17(3), 121-133.
강유경, Suk-Hyung Hwang, Eunghee Kim and 엄태정. 2012, "A Study on Data Analysis Approach based on Granular Concept Hierarchies", Journal of The Korea Society of Computer and Information, vol.17, no.3 pp.121-133.
강유경, Suk-Hyung Hwang, Eunghee Kim, 엄태정 "A Study on Data Analysis Approach based on Granular Concept Hierarchies" Journal of The Korea Society of Computer and Information 17.3 pp.121-133 (2012) : 121.
강유경, Suk-Hyung Hwang, Eunghee Kim, 엄태정. A Study on Data Analysis Approach based on Granular Concept Hierarchies. 2012; 17(3), 121-133.
강유경, Suk-Hyung Hwang, Eunghee Kim and 엄태정. "A Study on Data Analysis Approach based on Granular Concept Hierarchies" Journal of The Korea Society of Computer and Information 17, no.3 (2012) : 121-133.
강유경; Suk-Hyung Hwang; Eunghee Kim; 엄태정. A Study on Data Analysis Approach based on Granular Concept Hierarchies. Journal of The Korea Society of Computer and Information, 17(3), 121-133.
강유경; Suk-Hyung Hwang; Eunghee Kim; 엄태정. A Study on Data Analysis Approach based on Granular Concept Hierarchies. Journal of The Korea Society of Computer and Information. 2012; 17(3) 121-133.
강유경, Suk-Hyung Hwang, Eunghee Kim, 엄태정. A Study on Data Analysis Approach based on Granular Concept Hierarchies. 2012; 17(3), 121-133.
강유경, Suk-Hyung Hwang, Eunghee Kim and 엄태정. "A Study on Data Analysis Approach based on Granular Concept Hierarchies" Journal of The Korea Society of Computer and Information 17, no.3 (2012) : 121-133.