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Volumn , Issue , 2009, Pages 93-100

Accelerator-oriented algorithm transformation for temporal data mining

Author keywords

Computational neuroscience; CUDA; Frequent episodes; GPGPU; Spike train analysis; Temporal data mining

Indexed keywords

ALGORITHM TRANSFORMATION; ANALYSIS CAPABILITIES; APPLICATION DOMAINS; COMPUTATIONAL NEUROSCIENCE; DATA LAYOUTS; DATA PARALLEL; DATA SETS; DISCOVERY ALGORITHM; FREQUENT EPISODES; GPU IMPLEMENTATION; HARDWARE PLATFORM; MEMORY ACCESS PATTERNS; NON-TRIVIAL; PROBLEM DECOMPOSITION; SPIKE TRAIN; SPIKE TRAIN ANALYSIS; TEMPORAL DATA MINING;

EID: 73449146293     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NPC.2009.26     Document Type: Conference Paper
Times cited : (9)

References (11)
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  • 3
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    • Ryoo, S.1
  • 4
    • 73449122984 scopus 로고    scopus 로고
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    • Cao, Y.1
  • 5
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    • S. Guha et al., "Data visualization and mining using the gpu," Tutorial at ACM SIGKDD'05, 2005.
  • 6
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    • Hong Kong University of Science and Technology, Tech. Rep. HKUST-CS08-07, Oct
    • W. Fang et al., "Parallel data mining on graphics processors," Hong Kong University of Science and Technology, Tech. Rep. HKUST-CS08-07, Oct 2008.
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  • 7
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  • 8
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.