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Volumn 1, Issue 1, 2012, Pages 53-67

Large complex data: Divide and recombine (D&R) with RHIPE

Author keywords

Big data; Computer cluster; Data visualization; Deep analysis; Hadoop; Mathematical statistics; Statistical computing

Indexed keywords


EID: 84937859714     PISSN: None     EISSN: 20491573     Source Type: Journal    
DOI: 10.1002/sta4.7     Document Type: Article
Times cited : (89)

References (18)
  • 1
    • 84942654460 scopus 로고    scopus 로고
    • Multifractal and Gaussian fractional sum-difference models for internet traffic
    • Technical Report, Department of Statistics, Purdue University.
    • Anderson, D, Xi, B & Cleveland, WS (2012). 'Multifractal and Gaussian fractional sum-difference models for internet traffic', Technical Report, Department of Statistics, Purdue University.
    • (2012)
    • Anderson, D.1    Xi, B.2    Cleveland, W.S.3
  • 4
    • 84947318637 scopus 로고
    • Locally-weighted regression: An approach to regression analysis by local fitting
    • Cleveland, WS & Devlin, SJ (1988), 'Locally-weighted regression: An approach to regression analysis by local fitting', Journal of the American Statistical Association, 83, 596-610.
    • (1988) Journal of the American Statistical Association , vol.83 , pp. 596-610
    • Cleveland, W.S.1    Devlin, S.J.2
  • 6
    • 0002100348 scopus 로고
    • Primary, secondary, and meta-analysis of research
    • Glass, GV (1976), 'Primary, secondary, and meta-analysis of research', Educational Researcher, 5, 3-8.
    • (1976) Educational Researcher , vol.5 , pp. 3-8
    • Glass, G.V.1
  • 7
    • 84863748120 scopus 로고    scopus 로고
    • Computing environment for the statistical analysis of large and complex data
    • Ph.D. Thesis, Purdue University Department of Statistics.
    • Guha, S (2010), 'Computing environment for the statistical analysis of large and complex data', Ph.D. Thesis, Purdue University Department of Statistics.
    • (2010)
    • Guha, S.1
  • 9
    • 84942654461 scopus 로고    scopus 로고
    • A streaming statistical algorithm for detection of SSH keystroke packets in TCP connections
    • In, Wood, RK & Dell, RF (eds.), Institute for Operations Research and Management Sciences, Hanover, Maryland, USA.
    • Guha, S, Kidwell, P, Barthur, A, Cleveland, WS, Gerth, J & Bullard, C. (2011). 'A streaming statistical algorithm for detection of SSH keystroke packets in TCP connections', In Operations Research, Computing, and Homeland Defense, Wood, RK & Dell, RF (eds.), Institute for Operations Research and Management Sciences, Hanover, Maryland, USA.
    • (2011) Operations Research, Computing, and Homeland Defense
    • Guha, S.1    Kidwell, P.2    Barthur, A.3    Cleveland, W.S.4    Gerth, J.5    Bullard, C.6
  • 11
    • 79951950177 scopus 로고    scopus 로고
    • The R FAQ
    • World Wide Web,[Accessed on September 1, 2012].
    • Hornik, K (2011), 'The R FAQ', World Wide Web, http://CRAN.R-project.org/doc/FAQ/R-FAQ.html [Accessed on September 1, 2012].
    • (2011)
    • Hornik, K.1
  • 13
    • 84942654462 scopus 로고    scopus 로고
    • Core Development Group
    • World Wide Web,.
    • RHIPE (2011a), 'Core Development Group', World Wide Web, http://github.com/saptarshiguha/rhipe/.
    • (2011)
  • 14
    • 84942654463 scopus 로고    scopus 로고
    • Google Discussion Group
    • World Wide Web.
    • RHIPE (2011b), 'Google Discussion Group', World Wide Web, http://groups.google.com/group/rhipe.
    • (2011)
  • 17
  • 18
    • 84872398183 scopus 로고    scopus 로고
    • Statistical analysis and modeling of internet VoIP traffic for network engineering
    • Xi, B, Chen, H, Cleveland, WS & Telkamp, T (2010), 'Statistical analysis and modeling of internet VoIP traffic for network engineering', Electronic Journal of Statistics, 4, 58-116.
    • (2010) Electronic Journal of Statistics , vol.4 , pp. 58-116
    • Xi, B.1    Chen, H.2    Cleveland, W.S.3    Telkamp, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.