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Volumn 2005, Issue , 2005, Pages 310-314

Time series prediction using adaptive association rules

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ASSOCIATION RULES; DISTRIBUTED SYSTEMS; GRID COMPUTING; SCHEDULAR ALGORITHMS;

EID: 33646450963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (7)
  • 1
    • 33646450452 scopus 로고    scopus 로고
    • Time series prediction using recurrent SOM with local linear models
    • Helsinki University of Technology, Laboratory of Computational Engineering, Finland. Oct
    • Tinio Koskela, Markus Varsta, Jukka Heikkonen, and Kirarao Kaski. "Time Series Prediction using Recurrent SOM with Local Linear Models" Research Report B15, Helsinki University of Technology, Laboratory of Computational Engineering, Finland. Oct 1997.
    • (1997) Research Report , vol.B15
    • Koskela, T.1    Varsta, M.2    Heikkonen, J.3    Kaski, K.4
  • 2
    • 33646450140 scopus 로고    scopus 로고
    • Effectiveness of stochastic neural network for prediction of fall or rise of TOPIX
    • Keio University
    • Shigeo Kamitsuji and Ritei Shibata. "Effectiveness of Stochastic Neural Network for Prediction of Fall or Rise of TOPIX" Research Paper, Keio University, 2004.
    • (2004) Research Paper
    • Kamitsuji, S.1    Shibata, R.2
  • 4
    • 85130634439 scopus 로고    scopus 로고
    • Dynamically forecasting network performance using the network weather service
    • January
    • Rich Wolski. "Dynamically Forecasting Network Performance Using the Network Weather Service", in Journal of Cluster Computing, Volume 1, pp. 119-132, January, 1998.
    • (1998) Journal of Cluster Computing , vol.1 , pp. 119-132
    • Wolski, R.1
  • 5
    • 0032592464 scopus 로고    scopus 로고
    • The network weather service: A distributed resource performance forecasting service for metacomputing
    • October
    • Rich Wolski, Neil Spring, and Jim Hayes "The Network Weather Service: A Distributed Resource Performance Forecasting Service for Metacomputing", Journal of Future Generation Computing Systems,Volume 15, Numbers 5-6, pp. 757-768, October, 1999.
    • (1999) Journal of Future Generation Computing Systems , vol.15 , Issue.5-6 , pp. 757-768
    • Wolski, R.1    Spring, N.2    Hayes, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.