메뉴 건너뛰기




Volumn 19, Issue 12, 2013, Pages 2042-2051

Explainers: Expert explorations with crafted projections

Author keywords

exploration; High dimensional spaces; support vector machines

Indexed keywords

EXPRESSIVE POWER; HIGH DIMENSIONAL DATA; HIGH DIMENSIONAL SPACES; LEARNING OPTIMIZATIONS; MODEL PROBLEMS; PRIOR KNOWLEDGE; PROJECTION FUNCTION; STATISTICAL PROPERTIES;

EID: 84886710481     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2013.157     Document Type: Article
Times cited : (84)

References (51)
  • 1
    • 84886674294 scopus 로고    scopus 로고
    • Visual pattern discovery using random projections
    • A. Anand, L. Wilkinson, and T. N. Dang. Visual Pattern Discovery using Random Projections. In IEEE VAST, 2012.
    • (2012) IEEE VAST
    • Anand, A.1    Wilkinson, L.2    Dang, T.N.3
  • 2
    • 0032304703 scopus 로고    scopus 로고
    • Similarity clustering of dimensions for an enhanced visualization of multidimensional data
    • M. Ankerst, S. Berchtold, and D. Keim. Similarity clustering of dimensions for an enhanced visualization of multidimensional data. In IEEE InfoVis, 1998.
    • (1998) IEEE InfoVis
    • Ankerst, M.1    Berchtold, S.2    Keim, D.3
  • 3
    • 84886642549 scopus 로고    scopus 로고
    • Dis-function: Learning distance functions interactively
    • E. T. Brown, J. Liu, C. E. Brodley, and R. Chang. Dis-function: Learning distance functions interactively. In IEEE VAST, 2012.
    • (2012) IEEE VAST
    • Brown, E.T.1    Liu, J.2    Brodley, C.E.3    Chang, R.4
  • 4
    • 0035590060 scopus 로고    scopus 로고
    • An overview of analytic rotation in exploratory factor analysis
    • Jan.
    • M. W. Browne. An Overview of Analytic Rotation in Exploratory Factor Analysis. Multivariate Behavioral Research, 36(1):111-150, Jan. 2001.
    • (2001) Multivariate Behavioral Research , vol.36 , Issue.1 , pp. 111-150
    • Browne, M.W.1
  • 6
    • 28344440777 scopus 로고    scopus 로고
    • Detecting collaborations in text comparing the authors' rhetorical language choices in the Federalist Papers
    • J. Collins, D. Kaufer, P. Vlachos, and S. Ishizaki. Detecting collaborations in text comparing the authors' rhetorical language choices in the Federalist Papers. Computers and the Humanities, 38(1):15-36, 2004.
    • (2004) Computers and the Humanities , vol.38 , Issue.1 , pp. 15-36
    • Collins, J.1    Kaufer, D.2    Vlachos, P.3    Ishizaki, S.4
  • 7
    • 84862074765 scopus 로고    scopus 로고
    • Comparing averages in time series data
    • May
    • M. Correll, D. Albers, S. Franconeri, and M. Gleicher. Comparing averages in time series data. In CHI, pages 1095-1104, May 2012.
    • (2012) CHI , pp. 1095-1104
    • Correll, M.1    Albers, D.2    Franconeri, S.3    Gleicher, M.4
  • 8
    • 84877934180 scopus 로고    scopus 로고
    • Exploring collections of tagged text for literary scholarship
    • June
    • M. Correll, M. Witmore, and M. Gleicher. Exploring Collections of Tagged Text for Literary Scholarship. Computer Graphics Forum, 30(3):731-740, June 2011.
    • (2011) Computer Graphics Forum , vol.30 , Issue.3 , pp. 731-740
    • Correll, M.1    Witmore, M.2    Gleicher, M.3
  • 9
    • 0037191702 scopus 로고    scopus 로고
    • Class visualization of high-dimensional data with applications
    • DOI 10.1016/S0167-9473(02)00144-5, PII S0167947302001445
    • I. S. Dhillon, D. S. Modha, and W. Spangler. Class visualization of highdimensional data with applications. Computational Statistics & Data Analysis, 41(1):59-90, Nov. 2002. (Pubitemid 35358595)
    • (2002) Computational Statistics and Data Analysis , vol.41 , Issue.1 , pp. 59-90
    • Dhillon, I.S.1    Modha, D.S.2    Spangler, W.S.3
  • 12
    • 0039620968 scopus 로고    scopus 로고
    • Evaluating the use of exploratory factor analysis in psychological research
    • L. R. Fabrigar, D. T.Wegener, R. C. MacCallum, and E. J. Strahan. Evaluating the Use of Exploratory Factor Analysis in Psychological Research. Pyschological Methods, 4(3):272-299, 1999.
    • (1999) Pyschological Methods , vol.4 , Issue.3 , pp. 272-299
    • Fabrigar, L.R.1    Wegener, D.T.2    MacCallum, R.C.3    Strahan, E.J.4
  • 13
    • 35348928862 scopus 로고    scopus 로고
    • Targeted projection pursuit for interactive exploration of high- dimensional data sets
    • DOI 10.1109/IV.2007.107, 4271996, 11th International Conference Information Visualization, IV 2007
    • J. Faith. Targeted Projection Pursuit for Interactive Exploration of High-Dimensional Data Sets. In 2007 11th International Conference Information Visualization (IV '07), pages 286-292. IEEE, July 2007. (Pubitemid 47591752)
    • (2007) Proceedings of the International Conference on Information Visualisation , pp. 286-292
    • Faith, J.1
  • 15
    • 84879375284 scopus 로고    scopus 로고
    • Quality-based guidance for exploratory dimensionality reduction
    • Oct.
    • S. J. Fernstad, J. Shaw, and J. Johansson. Quality-based guidance for exploratory dimensionality reduction. Information Visualization, 12(1):44-64, Oct. 2012.
    • (2012) Information Visualization , vol.12 , Issue.1 , pp. 44-64
    • Fernstad, S.J.1    Shaw, J.2    Johansson, J.3
  • 16
    • 0016102310 scopus 로고
    • A projection pursuit algorithm for exploratory data analysis
    • Sept.
    • J. Friedman and J. Tukey. A Projection Pursuit Algorithm for Exploratory Data Analysis. IEEE Trans. on Computers, C-23(9):881-890, Sept. 1974.
    • (1974) IEEE Trans. on Computers , vol.C-23 , Issue.9 , pp. 881-890
    • Friedman, J.1    Tukey, J.2
  • 18
    • 16244379742 scopus 로고    scopus 로고
    • Coordinating computational and visual approaches for interactive feature selection and multivariate clustering
    • Dec.
    • D. Guo. Coordinating computational and visual approaches for interactive feature selection and multivariate clustering. Information Visualization, 2(4):232-246, Dec. 2003.
    • (2003) Information Visualization , vol.2 , Issue.4 , pp. 232-246
    • Guo, D.1
  • 19
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Mar.
    • I. Guyon and A. Elisseeff. An introduction to variable and feature selection. Journal of Machine Learning Research, 3:1157-1182, Mar. 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 22
    • 78049422991 scopus 로고    scopus 로고
    • The Very Large Textual Object: A Prosthetic Reading of Shakespeare
    • J. Hope and M. Witmore. The Very Large Textual Object: A Prosthetic Reading of Shakespeare. Early Modern Literary Studies, 9(3):1-36, 2004.
    • (2004) Early Modern Literary Studies , vol.9 , Issue.3 , pp. 1-36
    • Hope, J.1    Witmore, M.2
  • 25
    • 77957922288 scopus 로고    scopus 로고
    • Interactive dimensionality reduction through user-defined combinations of quality metrics
    • S. Johansson and J. Johansson. Interactive dimensionality reduction through user-defined combinations of quality metrics. IEEE Trans. on Vis. and Comp. Graphics, 15(6):993-1000, 2009.
    • (2009) IEEE Trans. on Vis. and Comp. Graphics , vol.15 , Issue.6 , pp. 993-1000
    • Johansson, S.1    Johansson, J.2
  • 27
    • 84886691279 scopus 로고    scopus 로고
    • Just-in-time annotation of clusters outliers and trends in point-based data visualizations
    • E. Kandogan. Just-in-Time Annotation of Clusters, Outliers, and Trends in Point-based Data Visualizations. In IEEE VAST, 2012.
    • (2012) IEEE VAST
    • Kandogan, E.1
  • 28
    • 84940343700 scopus 로고    scopus 로고
    • Mining textual knowledge for writing research and education
    • L. V. Waes, M. Leijten, and C. Neuwirth, editors
    • D. Kaufer, C. Geisler, P. Vlachos, and S. Ishizaki. Mining Textual Knowledge for Writing Research and Education. In L. V. Waes, M. Leijten, and C. Neuwirth, editors, Writing & Digital Media, pages 115-129. 2006.
    • (2006) Writing & Digital Media , pp. 115-129
    • Kaufer, D.1    Geisler, C.2    Vlachos, P.3    Ishizaki, S.4
  • 30
    • 84877788942 scopus 로고    scopus 로고
    • CheckViz: Sanity check and topological clues for linear and non-linear mappings
    • Mar.
    • S. Lespinats and M. Aupetit. CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings. Computer Graphics Forum, 30(1):113-125, Mar. 2011.
    • (2011) Computer Graphics Forum , vol.30 , Issue.1 , pp. 113-125
    • Lespinats, S.1    Aupetit, M.2
  • 32
    • 84858736606 scopus 로고    scopus 로고
    • Beyond categories: The visual memex model for reasoning about object relationships
    • T. Malisiewicz and A. A. Efros. Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships. In NIPS, 2009.
    • (2009) NIPS
    • Malisiewicz, T.1    Efros, A.A.2
  • 34
    • 16244391807 scopus 로고    scopus 로고
    • Value and relation display for interactive exploration of high dimensional datasets
    • A. Patro, N. Mehta, M. Ward, and E. Rundensteiner. Value and Relation Display for Interactive Exploration of High Dimensional Datasets. In IEEE InfoVis, 2004.
    • (2004) IEEE InfoVis
    • Patro, A.1    Mehta, N.2    Ward, M.3    Rundensteiner, E.4
  • 35
    • 41549088933 scopus 로고    scopus 로고
    • Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping
    • DOI 10.1109/TVCG.2007.70443, 4378370
    • F. V. Paulovich, L. G. Nonato, R. Minghim, and H. Levkowitz. Least square projection: a fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. on Vis. and Comp. Graphics, 14(3):564-75, 2008. (Pubitemid 351459483)
    • (2008) IEEE Transactions on Visualization and Computer Graphics , vol.14 , Issue.3 , pp. 564-575
    • Paulovich, F.V.1    Nonato, L.G.2    Minghim, R.3    Levkowitz, H.4
  • 37
    • 84864758525 scopus 로고    scopus 로고
    • Evaluation: From precision, recall and f-measure to roc, informedness, markedness and correllation
    • D. Powers. Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correllation. Journal of Machine Learning Technologies, 2(1):37-63, 2011.
    • (2011) Journal of Machine Learning Technologies , vol.2 , Issue.1 , pp. 37-63
    • Powers, D.1
  • 38
    • 84875863474 scopus 로고    scopus 로고
    • A taxonomy of visual cluster separation factors
    • June
    • M. Sedlmair, A. Tatu, T. Munzner, and M. Tory. A Taxonomy of Visual Cluster Separation Factors. Computer Graphics Forum, 31(3):1335-1344, June 2012.
    • (2012) Computer Graphics Forum , vol.31 , Issue.3 , pp. 1335-1344
    • Sedlmair, M.1    Tatu, A.2    Munzner, T.3    Tory, M.4
  • 39
    • 84996229696 scopus 로고    scopus 로고
    • A rank-by-feature framework for interactive exploration of multidimensional data
    • May
    • J. Seo and B. Shneiderman. A rank-by-feature framework for interactive exploration of multidimensional data. Information Visualization, 4(2):96-113, May 2005.
    • (2005) Information Visualization , vol.4 , Issue.2 , pp. 96-113
    • Seo, J.1    Shneiderman, B.2
  • 40
    • 68549110238 scopus 로고    scopus 로고
    • Selecting good views of high-dimensional data using class consistency
    • June
    • M. Sips, B. Neubert, J. P. Lewis, and P. Hanrahan. Selecting good views of high-dimensional data using class consistency. Computer Graphics Forum, 28(3):831-838, June 2009.
    • (2009) Computer Graphics Forum , vol.28 , Issue.3 , pp. 831-838
    • Sips, M.1    Neubert, B.2    Lewis, J.P.3    Hanrahan, P.4
  • 42
    • 33645662798 scopus 로고    scopus 로고
    • On improved projection techniques to support visual exploration of multi-dimensional data sets
    • Dec.
    • E. Tejada, R. Minghim, and L. Gustavo Nonato. On improved projection techniques to support visual exploration of multi-dimensional data sets. Information Visualization, 2(4):218-231, Dec. 2003.
    • (2003) Information Visualization , vol.2 , Issue.4 , pp. 218-231
    • Tejada, E.1    Minghim, R.2    Gustavo Nonato, L.3
  • 43
    • 84867642112 scopus 로고    scopus 로고
    • Representative factor generation for the interactive visual analysis of high-dimensional data
    • C. Turkay, A. Lundervold, A. J. Lundervold, and H. Hauser. Representative Factor Generation for the Interactive Visual Analysis of High-Dimensional Data. IEEE Trans. on Vis. and Comp. Graphics, 18(12):2621-2630, 2012.
    • (2012) IEEE Trans. on Vis. and Comp. Graphics , vol.18 , Issue.12 , pp. 2621-2630
    • Turkay, C.1    Lundervold, A.2    Lundervold, A.J.3    Hauser, H.4
  • 45
    • 33749522841 scopus 로고    scopus 로고
    • High-dimensional visual analytics: Interactive exploration guided by pairwise views of point distributions
    • DOI 10.1109/TVCG.2006.94, 1703359
    • L. Wilkinson, A. Anand, and R. Grossman. High-dimensional visual analytics: interactive exploration guided by pairwise views of point distributions. IEEE Trans. on Vis. and Comp. Graphics, 12(6):1363-72, 2006. (Pubitemid 44523082)
    • (2006) IEEE Transactions on Visualization and Computer Graphics , vol.12 , Issue.6 , pp. 1363-1372
    • Wilkinson, L.1    Anand, A.2    Grossman, R.3
  • 46
    • 78049434301 scopus 로고    scopus 로고
    • The hundredth psalm to the tune of green sleeves: Digital approaches to shakespeare's language of genre
    • M. Witmore and J. Hope. The Hundredth Psalm to the Tune of "Green Sleeves": Digital Approaches to Shakespeare's Language of Genre. Shakespeare Quarterly, 61(3):357-390, 2010.
    • (2010) Shakespeare Quarterly , vol.61 , Issue.3 , pp. 357-390
    • Witmore, M.1    Hope, J.2
  • 49


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.