Information technology plays vital role to enhance our knowledge and improve social life. Information presentation is as important as information itself, and interaction with these information enable one to understand these information quickly and easily. In this article, the information is explore up to one level granularity by introducing single level drill down interactive technique for descriptive data mining tasks results in order to convey inside of the data quickly, easily and effectively. The experimentation being done on Amazon dataset and two information visualization techniques i.e. column charts and bar charts. The interactive technique is comprehensively analyzing in both visualization techniques with respect to the visualization features. The drill down approach in column chart shows better performance comparatively.
목차
Abstract 1. Introduction 1.1. Challenges in Information Visualization 1.2. Drill Down Approach 2. Experimental Setup 2.1. Visualization Evaluation Technique 2.2. Participant’s Demographics 2.3. Data Source Domain 2.4. Survey Design 3. Result Analysis & Discussion 3.1. User’s Response 3.2. Drill Down Approach in Column Charts 3.3. Drill Down Approach in Column Charts 4. Conclusion and Future Work References
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.7 No.4