In this age of information, which is available in different forms and these information play imperative part to enhance our knowledge base and so our social life. Information presentation is as important as information itself because to interpret the inside knowledge and interaction with it makes it more effective. This study investigates legend navigation interactive technique for comparative exploration of descriptive data mining results in order to communicate the insight information quickly, easily and in well understandable form. The legend navigation interactive mechanism is applied to two visualization techniques (column charts and bar charts) by performing descriptive data mining task on published Amazon dataset. The experimentation is done with 41 volunteers, selected by simple random sampling technique. The interactive technique is comprehensively analyzed in both visualization techniques considering visualization features. Equate the results with drill down interactive mechanism and discussed the utility of mechanism based on visualization features. The legend navigation approach and drill down interactive mechanism showed better performance in column chart comparatively.
Legend navigation interactioninteractive visualization techniqueinteractive data mining resultsinteractivity
저자
Muzammil Khan [ Department of Computer & Software Technology, University of Swat, Pakistan ]
Sarwar Shah Khan [ Department of Computer & Software Technology, University of Swat, Pakistan, Department of Computer Science, Preston University Islamabad, Pakistan ]
M. Daud Awan [ Department of Computer Science, Preston University Islamabad, Pakistan ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
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 Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.9 No.9