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Volumn , Issue , 2011, Pages 13-16

SmartStripes - Looking under the Hood of Feature Subset Selection Methods

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Indexed keywords


EID: 85121667393     PISSN: None     EISSN: 26644487     Source Type: Conference Proceeding    
DOI: 10.2312/PE/EuroVAST/EuroVA11/013-016     Document Type: Conference Paper
Times cited : (3)

References (10)
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    • (1996) AI Magazine , vol.17 , Issue.3 , pp. 37-54
    • FAYYAD, U. M.1    PIATETSKY-SHAPIRO, G.2    SMYTH, P.3
  • 2
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    • FRIENDLY, M.1
  • 3
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
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    • [GE03] GUYON I., ELISSEEFF A.: An introduction to variable and feature selection. Journal of Machine Learning Resarch 3 (2003), 1157-1182.
    • (2003) Journal of Machine Learning Resarch , vol.3 , pp. 1157-1182
    • GUYON, I.1    ELISSEEFF, A.2
  • 4
    • 16244379742 scopus 로고    scopus 로고
    • Coordinating computational and visual approaches for interactive feature selection and multivariate clustering
    • [Guo03]
    • [Guo03] GUO D.: Coordinating computational and visual approaches for interactive feature selection and multivariate clustering. Information Visualization 2 (2003), 232-246.
    • (2003) Information Visualization , vol.2 , pp. 232-246
    • GUO, D.1
  • 6
    • 77957922288 scopus 로고    scopus 로고
    • Interactive dimensionality reduction through user-defined combinations of quality metrics
    • [JJ09] (November)
    • [JJ09] JOHANSSON S., JOHANSSON J.: Interactive dimensionality reduction through user-defined combinations of quality metrics. IEEE Transactions on Visualization and Computer Graphics 15 (November 2009), 993-1000.
    • (2009) IEEE Transactions on Visualization and Computer Graphics , vol.15 , pp. 993-1000
    • JOHANSSON, S.1    JOHANSSON, J.2
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
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    • [KJ97] KOHAVI R., JOHN G. H.: Wrappers for feature subset selection. Artificial Intelligence 97, 1 (1997), 273-324.
    • (1997) Artificial Intelligence , vol.97 , Issue.1 , pp. 273-324
    • KOHAVI, R.1    JOHN, G. H.2
  • 8
    • 67149084291 scopus 로고    scopus 로고
    • Clustering high-dimensional data: A survey on subspace clustering, patternbased clustering, and correlation clustering
    • [KKZ09] (March), 1
    • [KKZ09] KRIEGEL H.-P., KRÖGER P., ZIMEK A.: Clustering high-dimensional data: A survey on subspace clustering, patternbased clustering, and correlation clustering. ACM Trans. Knowl. Discov. Data 3 (March 2009), 1:1-1:58.
    • (2009) ACM Trans. Knowl. Discov. Data , vol.3 , pp. 1-1:58
    • KRIEGEL, H.-P.1    KRÖGER, P.2    ZIMEK, A.3
  • 10
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    • Visual hierarchical dimension reduction for exploration of high dimensional datasets
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    • [YWRH03] YANG J., WARD M. O., RUNDENSTEINER E. A., HUANG S.: Visual hierarchical dimension reduction for exploration of high dimensional datasets. In Proceedings of the symposium on Data visualisation (VisSym) (Aire-la-Ville, Switzerland, Switzerland, 2003), Eurographics Association, pp. 19-28.
    • (2003) Proceedings of the symposium on Data visualisation (VisSym) , pp. 19-28
    • YANG, J.1    WARD, M. O.2    RUNDENSTEINER, E. A.3    HUANG, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.