메뉴 건너뛰기




Volumn 2, Issue 1, 2010, Pages 9-25

Statistical data mining

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ,; COMPLEX DATASETS; CURSE OF DIMENSIONALITY; HISTORICAL PERSPECTIVE; MODERN SCIENCE; NON-PARAMETRIC REGRESSION; STATISTICAL DATAS;

EID: 78651580585     PISSN: 19395108     EISSN: 19390068     Source Type: Journal    
DOI: 10.1002/wics.53     Document Type: Review
Times cited : (6)

References (34)
  • 5
    • 84936916896 scopus 로고
    • Robust locally weighted regression and smoothing scatterplots
    • Cleveland WS. Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc 1979, 84:829-836.
    • (1979) J Am Stat Assoc , vol.84 , pp. 829-836
    • Cleveland, W.S.1
  • 9
    • 84950941772 scopus 로고
    • Projection pursuit regression
    • Friedman J, Stuetzle W. Projection pursuit regression. J Am Stat Assoc 1981, 76:817-823.
    • (1981) J Am Stat Assoc , vol.76 , pp. 817-823
    • Friedman, J.1    Stuetzle, W.2
  • 10
    • 0001764606 scopus 로고
    • Estimation of a projection-pursuit type regression model
    • Chen H. Estimation of a projection-pursuit type regression model. Ann Stat 1991, 19:142-157.
    • (1991) Ann Stat , vol.19 , pp. 142-157
    • Chen, H.1
  • 11
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoid function
    • Barron A. Universal approximation bounds for superpositions of a sigmoid function. IEEE Trans Information Theory 1993, 39:930-945.
    • (1993) IEEE Trans Information Theory , vol.39 , pp. 930-945
    • Barron, A.1
  • 13
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines (with discussion)
    • Friedman J. Multivariate adaptive regression splines (with discussion). Ann Stat 1991, 19:1-141.
    • (1991) Ann Stat , vol.19 , pp. 1-141
    • Friedman, J.1
  • 14
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani R. Regression shrinkage and selection via the lasso. J Roy Stat Soc., Series B 1996, 58:267-288.
    • (1996) J Roy Stat Soc., Series B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 15
    • 0000764772 scopus 로고
    • The use of multiples measurements in taxonomic problems
    • Fisher RA. The use of multiples measurements in taxonomic problems. Ann Eugenics 1936, 7:179-188.
    • (1936) Ann Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 16
    • 1442331023 scopus 로고    scopus 로고
    • Results in statistical discriminant analysis: A review of the former Soviet Union literature
    • Raudys S, Young DS. Results in statistical discriminant analysis: a review of the former Soviet Union literature. J Mutivariate Anal 2004, 89:1-35.
    • (2004) J Multivariate Anal , vol.89 , pp. 1-35
    • Raudys, S.1    Young, D.S.2
  • 18
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C, Vapnik V. Support-vector networks. Mach Learn 1995, 20:273-297.
    • (1995) Mach Learn , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 20
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Mach Learn 2001, 45:5-32.
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 21
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire R. The strength of weak learnability. Mach Learn 1990, 5:197-227.
    • (1990) Mach Learn , vol.5 , pp. 197-227
    • Schapire, R.1
  • 22
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting (with discussion)
    • Friedman J, Hastie T, Tibshirani R. Additive logistic regression: a statistical view of boosting (with discussion). Ann Stat 2000, 28:337-407.
    • (2000) Ann Stat , vol.28 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 24
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan G, Cooper M. An examination of procedures for determining the number of clusters in a data set. Psychometrika 1985, 50:159-179.
    • (1985) Psychometrika , vol.50 , pp. 159-179
    • Milligan, G.1    Cooper, M.2
  • 25
    • 0001925540 scopus 로고
    • Admissible clustering procedures
    • Fisher L, Van Ness J. Admissible clustering procedures. Biometrika 1971, 58:91-104.
    • (1971) Biometrika , vol.58 , pp. 91-104
    • Fisher, L.1    Van Ness, J.2
  • 26
    • 84911584312 scopus 로고
    • Shortest connection networks and some generalisations
    • Prim RC. Shortest connection networks and some generalisations.Bell Syst Tech J 1957, 36:1389-1401.
    • (1957) Bell Syst Tech J , vol.36 , pp. 1389-1401
    • Prim, R.C.1
  • 27
    • 8644255832 scopus 로고    scopus 로고
    • Clustering objects on subsets of variables (with discussion)
    • Friedman J, Meulman J. Clustering objects on subsets of variables (with discussion). J Roy Stat Soc., Series B 2004, 6:815-849.
    • (2004) J Roy Stat Soc., Series B , vol.6 , pp. 815-849
    • Friedman, J.1    Meulman, J.2
  • 28
    • 28444464348 scopus 로고
    • The plane with parallel coordinates
    • Inselberg A. The plane with parallel coordinates. Visual Computer 1985, 1:69-91.
    • (1985) Visual Computer , vol.1 , pp. 69-91
    • Inselberg, A.1
  • 32
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster A, Laird N, Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J Roy Stat Soc., Series B 1977, 39:1-22.
    • (1977) J Roy Stat Soc., Series B , vol.39 , pp. 1-22
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 33
    • 0027453616 scopus 로고
    • Model-basedGaussian and non-Gaussian clustering
    • Banfield JD, Raftery A. Model-basedGaussian and non- Gaussian clustering. Biometrics 1992, 49:803-821.
    • (1992) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.D.1    Raftery, A.2
  • 34
    • 22144488449 scopus 로고    scopus 로고
    • Sparse nonnegative solutions of underdetermined linear equations by linear programming
    • Donoho D, Tanner J. Sparse nonnegative solutions of underdetermined linear equations by linear programming. Proc Nat Acad Sci 2005, 102:9446-9451.
    • (2005) Proc Nat Acad Sci , vol.102 , pp. 9446-9451
    • Donoho, D.1    Tanner, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.