메뉴 건너뛰기




Volumn 35, Issue 3, 2015, Pages 10-14

Sharpening analytic focus to cope with big data volume and variety

Author keywords

analytic focusing; big data; computer graphics; data cleaning; visual analytics; visual analytics tools; visualization

Indexed keywords

COMPUTER GRAPHICS; DATA VISUALIZATION; FLOW VISUALIZATION; FOCUSING; NATIONAL SECURITY; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

EID: 84930654475     PISSN: 02721716     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCG.2015.64     Document Type: Review
Times cited : (19)

References (15)
  • 2
    • 84865212981 scopus 로고    scopus 로고
    • The top 10 challenges in extreme-scale visual analytics
    • P.C. Wong et al., "The Top 10 Challenges in Extreme-Scale Visual Analytics," IEEE Computer Graphics and Applications, vol. 32, no. 4, 2012, pp. 63-67.
    • (2012) IEEE Computer Graphics and Applications , vol.32 , Issue.4 , pp. 63-67
    • Wong, P.C.1
  • 3
    • 80054857836 scopus 로고    scopus 로고
    • Research directions in data wrangling: Visualizations and transformations for usable and credible data
    • S. Kandel et al., "Research Directions in Data Wrangling: Visualizations and Transformations for Usable and Credible Data," Information Visualization, vol. 10, no. 4, 2011, pp. 271-288.
    • (2011) Information Visualization , vol.10 , Issue.4 , pp. 271-288
    • Kandel, S.1
  • 4
    • 84930625493 scopus 로고    scopus 로고
    • OMNI 2 preparation
    • Feb
    • J. King and N. Papitashvili, "OMNI 2 Preparation," tech. report, NASA, Feb. 2013; http://omniweb.gsfc.nasa.gov/html/omni2-doc-old.html.
    • (2013) Tech. Report, NASA
    • King, J.1    Papitashvili, N.2
  • 6
    • 57349140370 scopus 로고    scopus 로고
    • Systematic yet flexible discovery: Guiding domain experts during exploratory data analysis
    • A. Perer and B. Shneiderman, "Systematic Yet Flexible Discovery: Guiding Domain Experts during Exploratory Data Analysis," Proc. ACM Conf. Intelligent User Interfaces (IUI), 2008, pp. 109-118.
    • (2008) Proc. ACM Conf. Intelligent User Interfaces (IUI) , pp. 109-118
    • Perer, A.1    Shneiderman, B.2
  • 7
    • 84856212409 scopus 로고    scopus 로고
    • Extracting insights from electronic health records: Case studies, a visual analytics process model, and design recommendations
    • T.D. Wang et al., "Extracting Insights from Electronic Health Records: Case Studies, A Visual Analytics Process Model, and Design Recommendations," J. Medical Systems, vol. 35, no. 5, 2011, pp. 1135-1152.
    • (2011) J. Medical Systems , vol.35 , Issue.5 , pp. 1135-1152
    • Wang, T.D.1
  • 8
    • 84930632977 scopus 로고    scopus 로고
    • Interactive event sequence query and transformation
    • Univ. of Maryland, June
    • M. Monroe, "Interactive Event Sequence Query and Transformation," doctoral dissertation, Dept. of Computer Science, Univ. of Maryland, June 2014; www.cs.umd.edu/localphp/hcil/tech-reports-search.php?number=2014-17.
    • (2014) Doctoral Dissertation, Dept. of Computer Science
    • Monroe, M.1
  • 9
    • 84877897011 scopus 로고    scopus 로고
    • Interactive information visualization for exploring and querying electronic health records: A systematic review
    • A. Rind et al., "Interactive Information Visualization for Exploring and Querying Electronic Health Records: A Systematic Review," Foundations and Trends in Human-Computer Interaction, vol. 5, no. 3, 2013, pp. 207-298.
    • (2013) Foundations and Trends in Human-Computer Interaction , vol.5 , Issue.3 , pp. 207-298
    • Rind, A.1
  • 10
    • 84910045176 scopus 로고    scopus 로고
    • DecisionFlow: Visual analytics for high-dimensional temporal event sequence data
    • D. Gotz and H. Stavropoulos, "DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data," IEEE Trans. Visualization and Computer Graphics, vol. 20, no. 12, 2014, pp. 1783-1792.
    • (2014) IEEE Trans. Visualization and Computer Graphics , vol.20 , Issue.12 , pp. 1783-1792
    • Gotz, D.1    Stavropoulos, H.2
  • 11
  • 12
    • 84929454534 scopus 로고    scopus 로고
    • Using visualizations to monitor changes and harvest insights from a global-scale logging infrastructure at twitter
    • K. Wongsuphasawat and J. Lin, "Using Visualizations to Monitor Changes and Harvest Insights from a Global-Scale Logging Infrastructure at Twitter," Proc. IEEE Visual Analytics Science and Technology Conf. (VAST), 2014, pp. 113-122.
    • (2014) Proc. IEEE Visual Analytics Science and Technology Conf. (VAST) , pp. 113-122
    • Wongsuphasawat, K.1    Lin, J.2
  • 13
    • 85054664091 scopus 로고    scopus 로고
    • Interactive visualization
    • K. Marconi and H. Lehman, eds., CRC Press
    • C. Plaisant et al., "Interactive Visualization," Big Data and Health Analytics, K. Marconi and H. Lehman, eds., CRC Press, 2014, pp. 243-262.
    • (2014) Big Data and Health Analytics , pp. 243-262
    • Plaisant, C.1
  • 14
    • 84862062814 scopus 로고    scopus 로고
    • Trust me, i'm partially right: Incremental visualization lets analysts explore large datasets faster
    • D. Fisher et al., "Trust Me, I'm Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster," Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI), 2012, pp. 1673-1682.
    • (2012) Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI) , pp. 1673-1682
    • Fisher, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.