정보시각화의 새로운 분류법에 관한 연구

• 영문명: A Research for New Taxonomy of Information Visualization
• 발행기관: 한국산업경영시스템학회
• 저자명: 배준우(Jun-Woo Bae) 이석원(Suk Won Lee) 김인수(In-Soo Kim) 명노해(Rohae Myung)
• 간행물 정보: 『산업경영시스템학회지』제32권 제2호, 76~84쪽, 전체 9쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2009.06.30

영문 초록

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.

목차

Abstract

1. 서론

2. 기존의 분류법

3. 새로운 분류법

4. 포렌식 데이터에 대한 새 분류법 적용

5. 결론

참고문헌

키워드

Information Visualization Taxonomy Forensic Data