Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Research for New Taxonomy of Information Visualization

정보시각화의 새로운 분류법에 관한 연구

  • Bae, Jun-Woo (Department of Industrial System and Information Engineering, Korea University) ;
  • Lee, Suk-Won (Department of Industrial System and Information Engineering, Korea University) ;
  • Kim, In-Soo (Department of Industrial System and Information Engineering, Korea University) ;
  • Myung, Ro-Hae (Department of Industrial System and Information Engineering, Korea University)
  • 배준우 (고려대학교 공과대학 산업시스템정보공학과) ;
  • 이석원 (고려대학교 공과대학 산업시스템정보공학과) ;
  • 김인수 (고려대학교 공과대학 산업시스템정보공학과) ;
  • 명노해 (고려대학교 공과대학 산업시스템정보공학과)
  • Published : 2009.06.30
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Abstract

Since too much information has been generated, it became very difficult to find out valuable and necessary information. In order to deal with the problem of information overload, the taxonomy for information visualization techniques has been based upon visualized shapes such as tree map, fisheye view and parallel coordinates, so that it was difficult to choose the right representation technique by data characteristics. Therefore, this study was designed to introduce a new taxonomy for the information visualization by data characteristics which defined by space (3D vs. multi-dimensions), time (continuous vs. discrete), and relations of data (qualitative vs. quantitative). To verify the new taxonomy, forensic data which were generated to investigate the culprit of network security was used. The result showed that the new taxonomy was found to be very efficient and effective to choose the right visualized shape for forensic data for network security. In conclusion, the new taxonomy was proven to be very helpful to choose the right information visualization technique by data characteristics.

Keywords

References

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