메뉴 건너뛰기




Volumn 30, Issue 3, 2011, Pages 891-900

Assisted descriptor selection based on visual comparative data analysis

Author keywords

I.5.2 Pattern Recognition ; Categories and Subject Descriptors (according to ACM CCS); Design Methodology Feature evaluation and selection; I.7 Information Interfaces and Presentation

Indexed keywords

CONFORMAL MAPPING; DATA DESCRIPTION; DATA HANDLING; INFORMATION ANALYSIS; PATTERN RECOGNITION; SELF ORGANIZING MAPS; VISUALIZATION;

EID: 84875842499     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2011.01938.x     Document Type: Article
Times cited : (43)

References (37)
  • 2
    • 84949479246 scopus 로고    scopus 로고
    • On the surprising behavior of distance metrics in high dimensional space
    • 2, 3
    • AGGARWAL C., HINNEBURG A., KEIM D.: On the surprising behavior of distance metrics in high dimensional space. Database Theory (2001), 420-434. 2, 3
    • (2001) Database Theory , pp. 420-434
    • Aggarwal, C.1    Hinneburg, A.2    Keim, D.3
  • 6
    • 1842690601 scopus 로고    scopus 로고
    • Molecular similarity searching using atom environments, information-based feature selection, and a naive bayesian classifier
    • 3
    • BENDER A., MUSSA H., GLEN R., REILING S.: Molecular similarity searching using atom environments, information-based feature selection, and a naive bayesian classifier. J. Chem. Inf. Comput. Sci 44, 1 (2004), 170-178. 3
    • (2004) J. Chem. Inf. Comput. Sci 44 , vol.1 , pp. 170-178
    • Bender, A.1    Mussa, H.2    Glen, R.3    Reiling, S.4
  • 8
    • 78650936017 scopus 로고    scopus 로고
    • IVisClassifier: An Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction
    • 4
    • CHOO J., LEE H., KIHM J., PARK H.: iVisClassifier: An Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction. In IEEE Symposium on Visual Analytics Science and Technology (2010), pp. 27-34. 4
    • (2010) IEEE Symposium on Visual Analytics Science and Technology , pp. 27-34
    • Choo, J.1    Lee, H.2    Kihm, J.3    Park, H.4
  • 9
    • 26444454606 scopus 로고    scopus 로고
    • Feature selection for unsupervised learning
    • 2, 3
    • DY J., BRODLEY C.: Feature selection for unsupervised learning. J. of Mach. Learning Research 5 (2004), 845-889. 2, 3
    • (2004) J. of Mach. Learning Research , vol.5 , pp. 845-889
    • Dy, J.1    Brodley, C.2
  • 11
    • 0034909184 scopus 로고    scopus 로고
    • Visualization of expression clusters using Sammons non-linear mapping
    • 3
    • EWING R. M., CHERRY J. M.: Visualization of expression clusters using Sammons non-linear mapping. Bioinformatics 17, 7 (2001), 658-659. 3
    • (2001) Bioinformatics 17 , vol.7 , pp. 658-659
    • Ewing, R.M.1    Cherry, J.M.2
  • 12
    • 33749128624 scopus 로고
    • Introduction to statistical pattern recognition
    • 4
    • FUKUNAGA K.: Introduction to statistical pattern recognition. Academic Pr, 1990. 4
    • (1990) Academic Pr
    • Fukunaga, K.1
  • 13
    • 2942544051 scopus 로고    scopus 로고
    • Enhancing SOM-based data visualization by linking different data projections
    • Eureka, 8
    • HIMBERG J.: Enhancing SOM-based data visualization by linking different data projections. In Int. Symp. on Intelligent Data Engineering and Learning (1998), Eureka, p. 427. 8
    • (1998) Int. Symp. on Intelligent Data Engineering and Learning , pp. 427
    • Himberg, J.1
  • 14
    • 0033684991 scopus 로고    scopus 로고
    • A SOM based cluster visualization and its application for false coloring
    • 8
    • HIMBERG J.: A SOM based cluster visualization and its application for false coloring. In IEEE Int. Joint Conf. on Neural Networks (2000), vol. 3, p. 3587. 8
    • (2000) IEEE Int. Joint Conf. on Neural Networks , vol.3 , pp. 3587
    • Himberg, J.1
  • 15
    • 0029404240 scopus 로고
    • Electrotopological state indices for atom types: A novel combination of electronic, topological, and valence state information
    • 9
    • HALL L., KIER L.: Electrotopological state indices for atom types: A novel combination of electronic, topological, and valence state information. J. of Chemical Information and Computer Sciences 35, 6 (1995), 1039-1045. 9
    • (1995) J. of Chemical Information and Computer Sciences 35 , vol.6 , pp. 1039-1045
    • Hall, L.1    Kier, L.2
  • 17
    • 77957922288 scopus 로고    scopus 로고
    • Interactive dimensionality reduction through user-defined combinations of quality metrics. Visualization and Computer Graphics
    • 4
    • JOHANSSON S., JOHANSSON J.: Interactive dimensionality reduction through user-defined combinations of quality metrics. Visualization and Computer Graphics, IEEE Transactions on 15, 6 (2009), 993-1000. 4
    • (2009) IEEE Transactions on 15 , vol.6 , pp. 993-1000
    • Johansson, S.1    Johansson, J.2
  • 19
    • 84988316460 scopus 로고    scopus 로고
    • A decade of progress in indexing and mining large time series databases
    • Tutorial, 3
    • KEOGH E.: A decade of progress in indexing and mining large time series databases. In Int. Conf. on Very Large Data Bases (2006). Tutorial. 3
    • (2006) Int. Conf. on Very Large Data Bases
    • Keogh, E.1
  • 20
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • 3
    • KOHAVI R., JOHN G.: Wrappers for feature subset selection. Artificial intelligence 97, 1-2 (1997), 273-324. 3
    • (1997) Artificial Intelligence 97 , vol.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 21
    • 0003598910 scopus 로고    scopus 로고
    • Springer, ch. Tips for processing and color-coding of Self-Organizing Maps, 8
    • KASKI S., KOHONEN T.: Visual Explorations in Finance. Springer, 1998, ch. Tips for processing and color-coding of Self-Organizing Maps, pp. 195-202. 8
    • (1998) Visual Explorations in Finance , pp. 195-202
    • Kaski, S.1    Kohonen, T.2
  • 24
    • 84992726552 scopus 로고
    • Estimating attributes: Analysis and extensions of RELIEF
    • Springer, 3
    • KONONENKO I.: Estimating attributes: Analysis and extensions of RELIEF. In Machine Learning: ECML-94 (1994), Springer, pp. 171-182. 3
    • (1994) Machine Learning: ECML-94 , pp. 171-182
    • Kononenko, I.1
  • 25
    • 0027002164 scopus 로고
    • The feature selection problem: Traditional methods and a new algorithm
    • 3
    • KIRA K., RENDELL L.: The feature selection problem: Traditional methods and a new algorithm. In National Conf. on Artificial Intelligence (1992), pp. 129-129. 3
    • (1992) National Conf. on Artificial Intelligence , pp. 129-129
    • Kira, K.1    Rendell, L.2
  • 28
    • 15544385732 scopus 로고    scopus 로고
    • Automatic feature extraction for classifying audio data
    • 3
    • MIERSWA I., MORIK K.: Automatic feature extraction for classifying audio data. Machine Learning 58, 2-3 (2005), 658-659. 3
    • (2005) Machine Learning 58 , vol.2-3 , pp. 658-659
    • Mierswa, I.1    Morik, K.2
  • 30
    • 68549110238 scopus 로고    scopus 로고
    • Selecting good views of high-dimensional data using class consistency
    • 3
    • SIPS M., NEUBERT B., LEWIS J., HANRAHAN P.: Selecting good views of high-dimensional data using class consistency. In Computer Graphics Forum (2009), vol. 28, pp. 831-838. 3
    • (2009) Computer Graphics Forum , vol.28 , pp. 831-838
    • Sips, M.1    Neubert, B.2    Lewis, J.3    Hanrahan, P.4
  • 31
    • 77956685977 scopus 로고    scopus 로고
    • Techniques for precision-based visual analysis of projected data
    • 4, 5
    • SCHRECK T., VON LANDESBERGER T., BREMM S.: Techniques for precision-based visual analysis of projected data. Information Visualization 9, 3 (2010), 181-193. 4, 5
    • (2010) Information Visualization 9 , vol.3 , pp. 181-193
    • Schreck, T.1    Von Landesberger, T.2    Bremm, S.3
  • 33
    • 84879707297 scopus 로고    scopus 로고
    • EnsembleMatrix: Interactive visualization to support machine learning with multiple classifiers
    • 3
    • TALBOT J., LEE B., KAPOOR A., TAN D.: EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers. In Int. Conf. on Human Factors in Computing Systems (2009), pp. 1283-1292. 3
    • (2009) Int. Conf. on Human Factors in Computing Systems , pp. 1283-1292
    • Talbot, J.1    Lee, B.2    Kapoor, A.3    Tan, D.4
  • 35
    • 38049168357 scopus 로고    scopus 로고
    • SOM-based data visualization methods
    • 3
    • VESANTO J.: SOM-based data visualization methods. Intelligent Data Analysis 3, 2 (1999), 111-126. 3
    • (1999) Intelligent Data Analysis 3 , vol.2 , pp. 111-126
    • Vesanto, J.1
  • 37
    • 33749522841 scopus 로고    scopus 로고
    • Highdimensional visual analytics: Interactive exploration guided by pairwise views of point distributions
    • November, 3
    • WILKINSON L., ANAND A., GROSSMAN R.: Highdimensional visual analytics: Interactive exploration guided by pairwise views of point distributions. Trans. on Visualization and Computer Graphics 12 (November 2006), 1363-1372. 3
    • (2006) Trans. on Visualization and Computer Graphics 12 , pp. 1363-1372
    • Wilkinson, L.1    Anand, A.2    Grossman, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.