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Volumn 9, Issue 4, 2012, Pages 22-25

Big data in astronomy

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EID: 84865027907     PISSN: 17409705     EISSN: 17409713     Source Type: Journal    
DOI: 10.1111/j.1740-9713.2012.00587.x     Document Type: Article
Times cited : (38)

References (7)
  • 1
    • 84864976987 scopus 로고    scopus 로고
    • Griffin, E., Hanisch, R. and Seaman, R. (eds) Cambridge : Cambridge University Press.
    • Griffin, E., Hanisch, R. and Seaman, R. (eds) (2012) New Horizons in Time Domain Astronomy. Cambridge : Cambridge University Press.
    • (2012) New Horizons in Time Domain Astronomy
  • 2
    • 20444461186 scopus 로고    scopus 로고
    • Simulations of the formation, evolution and clustering of galaxies and quasars
    • Springel, V., White, S. D. M., Jenkins, A. et al. (2005) Simulations of the formation, evolution and clustering of galaxies and quasars. Nature, 435, 629-636.
    • (2005) Nature , vol.435 , pp. 629-636
    • Springel, V.1    White, S.D.M.2    Jenkins, A.3
  • 4
    • 70549097223 scopus 로고    scopus 로고
    • Type Ia supernova light-curve inference: Hierarchical Bayesian analysis in the near-infrared
    • Mandel, K. S., Wood-Vasey, W. M., Friedman, A. S. and Kirshner, R. P. (2009) Type Ia supernova light-curve inference: Hierarchical Bayesian analysis in the near-infrared. Astrophysical Journal, 704(1), 629-651.
    • (2009) Astrophysical Journal , vol.704 , Issue.1 , pp. 629-651
    • Mandel, K.S.1    Wood-Vasey, W.M.2    Friedman, A.S.3    Kirshner, R.P.4
  • 6
    • 71649097912 scopus 로고    scopus 로고
    • Detecting variability in massive astronomical time series data I. Application of an infinite Gaussian mixture
    • Shin, M.-S., Sekora, M. and Byun, Y.-I. (2009) Detecting variability in massive astronomical time series data I. Application of an infinite Gaussian mixture. Monthly Notices of the Royal Astronomical Society, 400(4), 1897-1901.
    • (2009) Monthly Notices of the Royal Astronomical Society , vol.400 , Issue.4 , pp. 1897-1901
    • Shin, M.-S.1    Sekora, M.2    Byun, Y.-I.3
  • 7
    • 78651543066 scopus 로고    scopus 로고
    • Cluster-based approach for outlier detection in dynamic data streams (KORM: k-median OutlieR Miner)
    • Dhaliwal, P., Bhatia, M. and Bansal, P. A. (2010) Cluster-based approach for outlier detection in dynamic data streams (KORM: k-median OutlieR Miner). Journal of Computing, 2(2), 74-80.
    • (2010) Journal of Computing , vol.2 , Issue.2 , pp. 74-80
    • Dhaliwal, P.1    Bhatia, M.2    Bansal, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.