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Volumn 3512, Issue , 2005, Pages 758-770

The curse of dimensionality in data mining and time series prediction

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS;

EID: 25144451767     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_93     Document Type: Conference Paper
Times cited : (567)

References (22)
  • 2
    • 0000203752 scopus 로고
    • Optimal minimal neural interpretation of spectra
    • Borggaard, C., Thodberg, H.: Optimal minimal neural interpretation of spectra. Analytical Chemistry 64 (1992) 545-551
    • (1992) Analytical Chemistry , vol.64 , pp. 545-551
    • Borggaard, C.1    Thodberg, H.2
  • 6
    • 84947205653 scopus 로고    scopus 로고
    • When is "nearest neighbor" meaningful?
    • Been, C., Buneman, P., eds.: Database Theory -ICDT'99, 7th International Conference, Jerusalem, Israel, January 10-12, 1999, Proceedings, Springer
    • Beyer, K.S., Goldstein, J., Ramakrishnan, R., Shaft, U.: When is "nearest neighbor" meaningful? In Been, C., Buneman, P., eds.: Database Theory -ICDT'99, 7th International Conference, Jerusalem, Israel, January 10-12, 1999, Proceedings. Volume 1540 of Lecture Notes in Computer Science., Springer (1999) 217-235
    • (1999) Lecture Notes in Computer Science , vol.1540 , pp. 217-235
    • Beyer, K.S.1    Goldstein, J.2    Ramakrishnan, R.3    Shaft, U.4
  • 7
    • 1542292055 scopus 로고    scopus 로고
    • What is the nearest neighbor in high dimensional spaces?
    • Hinneburg, A., Aggarwal, C., Keim, D.:What is the nearest neighbor in high dimensional spaces? In: The VLDB Journal. (2000) 506-515
    • (2000) The VLDB Journal , pp. 506-515
    • Hinneburg, A.1    Aggarwal, C.2    Keim, D.3
  • 8
    • 84949479246 scopus 로고    scopus 로고
    • On the surprising behavior of distance metrics in high dimensional spaces
    • den Bussche, J.V., Vianu, V., eds.: Database Theory -ICDT 2001, 8th International Conference, London, UK, January 4-6, M. Verleysen, D. Francois 2001, Proceedings, Springer
    • Aggarwal, C.C., Hinneburg, A., Keim, D.A.: On the surprising behavior of distance metrics in high dimensional spaces. In den Bussche, J.V., Vianu, V., eds.: Database Theory -ICDT 2001, 8th International Conference, London, UK, January 4-6, M. Verleysen, D. Francois 2001, Proceedings. Volume 1973 of Lecture Notes in Computer Science., Springer (2001) 420-434
    • (2001) Lecture Notes in Computer Science , vol.1973 , pp. 420-434
    • Aggarwal, C.C.1    Hinneburg, A.2    Keim, D.A.3
  • 11
    • 0348139702 scopus 로고    scopus 로고
    • Dimension reduction by local principal component analysis
    • Kambhatla, N., Leen, T.: Dimension reduction by local principal component analysis. Neural Computation 9 (1997) 1493-1516
    • (1997) Neural Computation , vol.9 , pp. 1493-1516
    • Kambhatla, N.1    Leen, T.2
  • 12
    • 10944229264 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernelolkopf
    • B., Smola, A., M eigenvalue problem
    • Schüller, K.R.: Nonlinear component analysis as a kernelolkopf, B., Smola, A., M eigenvalue problem. Neural Computation 10 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schüller, K.R.1
  • 13
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • Sammon, J.: A nonlinear mapping for data structure analysis. IEEE Transactions on Computers 18 (1969) 401-409
    • (1969) IEEE Transactions on Computers , vol.18 , pp. 401-409
    • Sammon, J.1
  • 14
    • 0030736375 scopus 로고    scopus 로고
    • Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets
    • Demartines, P., Herault, J.: Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets. IEEE Transaction on Neural Networks 8 (1997)
    • (1997) IEEE Transaction on Neural Networks , vol.8
    • Demartines, P.1    Herault, J.2
  • 16
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290 (2000) 2319-2313
    • (2000) Science , vol.290 , pp. 2319-12313
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 18
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • Kramer, M.: Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal 37 (1991) 233
    • (1991) AIChE Journal , vol.37 , pp. 233
    • Kramer, M.1
  • 19
    • 0002405786 scopus 로고
    • On the numerical determination of the dimension of an attractor
    • Takens, F.: On the numerical determination of the dimension of an attractor. Lectures Notes in Mathematics 1125 (1985) 99-106
    • (1985) Lectures Notes in Mathematics , vol.1125 , pp. 99-106
    • Takens, F.1
  • 20
    • 40749093037 scopus 로고
    • Measuring the strangeness of strange attractors
    • Grassberger, P., Procaccia, I.: Measuring the strangeness of strange attractors. Physica D 9 (1983) 189-208
    • (1983) Physica D , vol.9 , pp. 189-208
    • Grassberger, P.1    Procaccia, I.2
  • 21
    • 25144464279 scopus 로고    scopus 로고
    • Dimension reduction of technical indicators for the prediction of financial time series -application to the bel 20 market index
    • Lendasse, A., Lee, J., Bodt, E.D., Wertz, V., Verleysen, M.: Dimension reduction of technical indicators for the prediction of financial time series -application to the bel 20 market index. European Journal of Economic and Social Systems 15 (2001)
    • (2001) European Journal of Economic and Social Systems , vol.15
    • Lendasse, A.1    Lee, J.2    Bodt, E.D.3    Wertz, V.4    Verleysen, M.5
  • 22


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.