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Volumn , Issue , 2009, Pages 282-289

Why naive ensembles do not work in cloud computing

Author keywords

Cloud computing; Decision tree; Ensemble; Parellel

Indexed keywords

CLOUD COMPUTING; DATA MINING ALGORITHM; EXPERIMENTAL STUDIES; LARGE DATASETS; PERFORMANCE DATA;

EID: 77951145852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.85     Document Type: Conference Paper
Times cited : (4)

References (25)
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    • (2009) Phil. Trans. R. Soc. A , vol.367 , Issue.1897 , pp. 2429-2445
    • Gu, Y.1    Grossman, R.2
  • 3
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    • (1998) Proc. 1998 Intl. Parallel Processing Symp. , pp. 573-579
    • Joshi, M.1    Karypis, G.2    Kumar, V.3
  • 13
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    • Scalable parallel data mining for association rules
    • May/June
    • E. Han, G. Karypis and V. Kumar, "Scalable Parallel Data Mining for Association Rules", IEEE Trans. on Knowledge and Data Engineering, Vol. 12, No. 3, May/June 2000, pp.372-390.
    • (2000) IEEE Trans. on Knowledge and Data Engineering , vol.12 , Issue.3 , pp. 372-390
    • Han, E.1    Karypis, G.2    Kumar, V.3
  • 15
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    • Parallel mining of association rules
    • December
    • R. Agrawaland J.C. Shafer, "Parallel Mining of Association Rules", IEEE Trans. On Knowledge and Data Eng., 8(6):962-969, December 1996.
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    • Shafer, R.A.J.C.1
  • 17
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    • http://www.opencloudconsortium.org/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.