메뉴 건너뛰기




Volumn , Issue , 2011, Pages 1-5

A parallel Random Forest classifier for R

Author keywords

[No Author keywords available]

Indexed keywords

END USERS; HIGH PERFORMANCE COMPUTING SYSTEMS; MICROARRAY DATA; PARALLEL VERSION; R-FUNCTIONS; RANDOM FOREST CLASSIFIER; SOFTWARE INFRASTRUCTURE;

EID: 79960963410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1996023.1996024     Document Type: Conference Paper
Times cited : (17)

References (27)
  • 1
    • 0013219175 scopus 로고    scopus 로고
    • The chipping forecast II
    • The chipping forecast II. Nature Genetics, 32(4s):461-552, 2002.
    • (2002) Nature Genetics , vol.32 , Issue.4 S , pp. 461-552
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman. Random forests. Machine Learning, 45:5-32, 2001. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 4
    • 37549029793 scopus 로고    scopus 로고
    • The properties of high-dimensional data spaces: Implications for exploring gene and protein expression data
    • R. Clarke, H. W. Ressom, A. Wang, J. Xuan, M. C. Liu, E. A. Gehan, and Y. Wang. The properties of high-dimensional data spaces: implications for exploring gene and protein expression data. Nature Reviews Cancer, 8(1):37-49, 2008.
    • (2008) Nature Reviews Cancer , vol.8 , Issue.1 , pp. 37-49
    • Clarke, R.1    Ressom, H.W.2    Wang, A.3    Xuan, J.4    Liu, M.C.5    Gehan, E.A.6    Wang, Y.7
  • 5
    • 78751680760 scopus 로고    scopus 로고
    • Translational bioinformatics in the cloud: An affordable alternative
    • J. Dudley, Y. Pouliot, R. Chen, A. Morgan, and A. Butte. Translational bioinformatics in the cloud: an affordable alternative. Genome Medicine, 2(8):51, 2010.
    • (2010) Genome Medicine , vol.2 , Issue.8 , pp. 51
    • Dudley, J.1    Pouliot, Y.2    Chen, R.3    Morgan, A.4    Butte, A.5
  • 6
    • 62849090487 scopus 로고    scopus 로고
    • Computational cluster validation for microarray data analysis: Experimental assessment of clest, consensus clustering, figure of merit, gap statistics and model explorer
    • R. Giancarlo, D. Scaturro, and F. Utro. Computational cluster validation for microarray data analysis: experimental assessment of clest, consensus clustering, figure of merit, gap statistics and model explorer. BMC Bioinformatics, 9(1):462, 2008.
    • (2008) BMC Bioinformatics , vol.9 , Issue.1 , pp. 462
    • Giancarlo, R.1    Scaturro, D.2    Utro, F.3
  • 10
    • 79960940390 scopus 로고    scopus 로고
    • ScalParC: A new scalable and efficient parallel classification algorithm for mining large datasets
    • M. V. Joshi, G. Karypis, and V. Kumar. ScalParC: A new scalable and efficient parallel classification algorithm for mining large datasets. Technical report, University of Minnesota, 1998.
    • (1998) Technical Report, University of Minnesota
    • Joshi, M.V.1    Karypis, G.2    Kumar, V.3
  • 11
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • S. B. Kotsiantis. Supervised machine learning: a review of classification techniques. Informatica, 31:249-268, 2007. (Pubitemid 350208045)
    • (2007) Informatica (Ljubljana) , vol.31 , Issue.3 , pp. 249-268
    • Kotsiantis, S.B.1
  • 12
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomforest
    • A. Liaw and M. Wiener. Classification and regression by randomforest. R News, 2(3):18-22, 2002.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 16
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 17
    • 79951480123 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0
    • R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2010. ISBN 3-900051-07-0.
    • (2010) R: A Language and Environment for Statistical Computing
  • 18
  • 20
    • 38049070957 scopus 로고    scopus 로고
    • Picking single-nucleotide polymorphisms in forests
    • D. Schwarz, S. Szymczak, A. Ziegler, and I. Konig. Picking single-nucleotide polymorphisms in forests. BMC Proceedings, 1(Suppl 1):S59, 2007.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Schwarz, D.1    Szymczak, S.2    Ziegler, A.3    Konig, I.4
  • 21
    • 77954485448 scopus 로고    scopus 로고
    • On safari to Random Jungle: A fast implementation of Random Forests for high-dimensional data
    • D. F. Schwarz, I. R. König, and A. Ziegler. On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data. Bioinformatics, 26(14):1752-1758, 2010.
    • (2010) Bioinformatics , vol.26 , Issue.14 , pp. 1752-1758
    • Schwarz, D.F.1    König, I.R.2    Ziegler, A.3
  • 22
    • 0002139432 scopus 로고    scopus 로고
    • SPRINT: A scalable parallel classifier for data mining
    • T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, editors, September 3-6, 1996, Mumbai, Bombay, India
    • J. C. Shafer, R. Agrawal, and M. Mehta. SPRINT: A scalable parallel classifier for data mining. In T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, editors, VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India, pages 544-555, 1996.
    • (1996) VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases , pp. 544-555
    • Shafer, J.C.1    Agrawal, R.2    Mehta, M.3
  • 23
    • 38049178069 scopus 로고    scopus 로고
    • Reimplementation of the random forest algorithm
    • M. Vajteršic, R. Trobec, and P. Zinterhof, editors
    • G. Topić, T. Šmuc, Z. Šojat, and K. Skala. Reimplementation of the random forest algorithm. In M. Vajteršic, R. Trobec, and P. Zinterhof, editors, Parallel Numerics '05, pages 119-125, 2005.
    • (2005) Parallel Numerics '05 , pp. 119-125
    • Topić, G.1    Šmuc, T.2    Šojat, Z.3    Skala, K.4
  • 24
    • 53249125093 scopus 로고    scopus 로고
    • R/parallel-speeding up bioinformatics analysis with R
    • G. Vera, R. Jansen, and R. Suppi. R/parallel - speeding up bioinformatics analysis with R. BMC Bioinformatics, 9(1):390, 2008.
    • (2008) BMC Bioinformatics , vol.9 , Issue.1 , pp. 390
    • Vera, G.1    Jansen, R.2    Suppi, R.3
  • 25
    • 40849105031 scopus 로고    scopus 로고
    • Approaches to working in high-dimensional data spaces: Gene expression microarrays
    • DOI 10.1038/sj.bjc.6604207, PII 6604207
    • Y. Wang, D. J. Miller, and R. Clarke. Approaches to working in high-dimensional data spaces: gene expression microarrays. British Journal of Cancer, 98(6):1023-1028, 2008. (Pubitemid 351399797)
    • (2008) British Journal of Cancer , vol.98 , Issue.6 , pp. 1023-1028
    • Wang, Y.1    Miller, D.J.2    Clarke, R.3
  • 27
    • 38049006418 scopus 로고    scopus 로고
    • Data mining, neural nets, trees-problems 2 and 3 of genetic analysis workshop 15
    • A. Ziegler, A. L. DeStefano, and I. R. König. Data mining, neural nets, trees - problems 2 and 3 of genetic analysis workshop 15. Genetic Epidemiology, 31(Supplement 1):S51-S60, 2007.
    • (2007) Genetic Epidemiology , vol.31 , Issue.SUPPL. 1
    • Ziegler, A.1    DeStefano, A.L.2    König, I.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.