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A Study on Data Analysis Approach based on Granular Concept Hierarchies

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(3), pp.121-133
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

강유경 1,  Suk-Hyung Hwang 1,  Eunghee Kim 2,  엄태정 1

1선문대학교
2서울대학교

Accredited

ABSTRACT

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.

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