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Volumn 15, Issue 6, 2009, Pages 1359-1366

Visualization and exploration of temporal trend relationships in multivariate time-varying data

Author keywords

SUBDTW; trend sequence; trend sequence clustering

Indexed keywords

DATA POINTS; LINEAR TIME COMPLEXITY; LOCAL REGION; SCIENTIFIC DATA; SPATIAL DISTRIBUTION; SPATIAL REGIONS; STATE MACHINE; SUBDTW; TEMPORAL CHARACTERISTICS; TEMPORAL RELATIONSHIPS; TEMPORAL TRENDS; TIME INTERVAL; TIME-VARYING DATA; TIME-VARYING DATA SETS; TREND SEQUENCE;

EID: 77957889514     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2009.200     Document Type: Conference Paper
Times cited : (67)

References (26)
  • 4
    • 54949116923 scopus 로고    scopus 로고
    • Extensions of parallel coordinates for interactive exploration of large multi-timepoint data sets
    • J. Blaas, C. Botha, and F. Post. Extensions of parallel coordinates for interactive exploration of large multi-timepoint data sets. IEEE Transactions on Visualization and Computer Graphics, 14(6):1436-1451, 2008.
    • (2008) Transactions on Visualization and Computer Graphics , vol.14 , Issue.6 , pp. 1436-1451
    • Blaas, J.1    Botha, C.2    Post, F.3
  • 10
    • 0142090425 scopus 로고    scopus 로고
    • Clustering huge data sets for parametric pet imaging
    • H. Guo, R. Renaut, K. Chen, and E. Reiman. Clustering huge data sets for parametric pet imaging. BioSystems, 71(1-2):81-92, 2003.
    • (2003) BioSystems , vol.71 , Issue.1-2 , pp. 81-92
    • Guo, H.1    Renaut, R.2    Chen, K.3    Reiman, E.4
  • 12
    • 84998183152 scopus 로고    scopus 로고
    • Dynamic query tools for time series data sets: Timebox widgets for interactive exploration
    • H. Hochheiser and B. Shneiderman. Dynamic query tools for time series data sets: timebox widgets for interactive exploration. Information Visualization, 3(1):1-18, 2004.
    • (2004) Information Visualization , vol.3 , Issue.1 , pp. 1-18
    • Hochheiser, H.1    Shneiderman, B.2
  • 15
    • 67650521617 scopus 로고    scopus 로고
    • Visualizing time-varying features with tac-based distance fields
    • Los Alamitos, CA, USA IEEE Computer Society
    • T.-Y. Lee and H.-W. Shen. Visualizing time-varying features with tac-based distance fields. In PV'09: Proceeding of IEEE Pacific Visualization Symposium 2009, pages 1-8, Los Alamitos, CA, USA, 2009. IEEE Computer Society.
    • (2009) PV'09: Proceeding of IEEE Pacific Visualization Symposium 2009 , pp. 1-8
    • Lee, T.-Y.1    Shen, H.-W.2
  • 17
    • 53149153913 scopus 로고    scopus 로고
    • Illustrative parallel coordinates
    • K. McDonnell and K. Mueller. Illustrative parallel coordinates. Computer Graphics Forum, 27(3):1031-1038, 2008.
    • (2008) Computer Graphics Forum , vol.27 , Issue.3 , pp. 1031-1038
    • McDonnell, K.1    Mueller, K.2
  • 19
    • 53149128029 scopus 로고    scopus 로고
    • A four-level focus+context approach to interactive visual analysis of temporal features in large scientific data
    • P. Muigg, J. Kehrer, S. Oeltze, H. Piringer, H. Doleisch, B. Preim, and H. Hauser. A four-level focus+context approach to interactive visual analysis of temporal features in large scientific data. Computer Graphics Forum, 27(3):775-782, 2008
    • (2008) Computer Graphics Forum , vol.27 , Issue.3 , pp. 775-782
    • Muigg, P.1    Kehrer, J.2    Oeltze, S.3    Piringer, H.4    Doleisch, H.5    Preim, B.6    Hauser, H.7
  • 20
    • 39049189011 scopus 로고    scopus 로고
    • Design and evaluation of tiled parallel coordinate visualization of multichannel eeg data
    • M. ten Caat and N. M. Maurits. Design and evaluation of tiled parallel coordinate visualization of multichannel eeg data. IEEE Transactions on Visualization and Computer Graphics, 13(1):70-79, 2007.
    • (2007) Transactions on Visualization and Computer Graphics , vol.13 , Issue.1 , pp. 70-79
    • Ten Caat, M.1    Maurits, N.M.2
  • 25
    • 59449104013 scopus 로고    scopus 로고
    • Multiscale time activity data exploration via temporal clustering visualization spreadsheet
    • J. Woodring and H.-W. Shen. Multiscale time activity data exploration via temporal clustering visualization spreadsheet. IEEE Transactions on Visualization and Computer Graphics, 15(1):123-137, 2009.
    • (2009) Transactions on Visualization and Computer Graphics , vol.15 , Issue.1 , pp. 123-137
    • Woodring, J.1    Shen, H.-W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.