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Volumn 16, Issue , 2004, Pages 620-625

Performance evaluation and characterization of scalable data mining algorithms

Author keywords

Data mining, benchmark; Parallel computing; Performance evaluation

Indexed keywords

ALGORITHMS; BENCHMARKING; COMPUTATIONAL COMPLEXITY; COMPUTER ARCHITECTURE; DISTRIBUTED COMPUTER SYSTEMS; MARKETING; PARALLEL PROCESSING SYSTEMS; RISK MANAGEMENT;

EID: 11844299734     PISSN: 10272658     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (27)
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    • Joshi, M.V.1    Karypis, G.2    Kumar, V.3
  • 10
    • 4644312447 scopus 로고    scopus 로고
    • Scaling and charaterizing database workloads: Bridging the gap between research and practice
    • Hankins, R., et al., Scaling and Charaterizing Database Workloads: Bridging the Gap between Research and Practice, Intl. Symposium on Microarchitecture, 2003.
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    • Hankins, R.1
  • 11
    • 0031594019 scopus 로고    scopus 로고
    • Performance characterization of a quad pentium pro SMP using OLTP workloads
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    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
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    • Eisenstein, D.J.1    Hut, P.2
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    • OpenMP: Simple, portable
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    • Achieving extreme resolution in numerical cosmology using adaptive mesh refinement: Resolving primordial star formation
    • Nov.
    • Bryan, G., T. Abel, and M. Norman, Achieving Extreme Resolution in Numerical Cosmology Using Adaptive Mesh Refinement: Resolving Primordial Star Formation, SuperComputing, Nov. 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.