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Volumn AIDSS, Issue , 2007, Pages 212-218

Self-learning prediction system for optimisation of workload management in a mainframe operating system

Author keywords

Feature selection; Neural networks; Time series prediction; Workload management

Indexed keywords

BUSINESS PROCESS; DATA EXTRACTION; ERROR MEASURES; FEATURE SELECTION; NON-STATIONARITY; OPERATING SYSTEMS; OPTIMISATION; PREDICTION MODEL; PREDICTION SYSTEMS; PREVENTIVE ACTION; SELF-LEARNING; SPECIFIC TASKS; TIME SERIES PREDICTION; TRAINING DATA; WORKLOAD MANAGEMENT;

EID: 67649908284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 1
    • 0030672830 scopus 로고    scopus 로고
    • Adaptive algorithms for managing a distributed data processing workload
    • Aman, J., Eilert, C. K., Emmes, D., Yocom, P., Dillenberger, D., 1997. Adaptive algorithms for managing a distributed data processing workload. In IBM Systems Journal, 36(2): 242-283.
    • (1997) IBM Systems Journal , vol.36 , Issue.2 , pp. 242-283
    • Aman, J.1    Eilert, C.K.2    Emmes, D.3    Yocom, P.4    Dillenberger, D.5
  • 4
    • 0036161259 scopus 로고    scopus 로고
    • Gene Selection for Cancer Classification using Support Vector Machines
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V., 2002. Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning, 46(1): 389-422.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 5
    • 0031122049 scopus 로고    scopus 로고
    • An Experimental and Theoretical Comparison of Model Selection Methods
    • Kearns, M., Mansour, Y., Ng, A. Y., Ron, D., 1997. An Experimental and Theoretical Comparison of Model Selection Methods. Machine Learning, 27(1): 7-50.
    • (1997) Machine Learning , vol.27 , Issue.1 , pp. 7-50
    • Kearns, M.1    Mansour, Y.2    Ng, A.Y.3    Ron, D.4
  • 9
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D. Rumelhart and J. McClelland, editors, MIT Press
    • Rumelhart, D., Hinton, G., Williams, R., 1986. Learning internal representations by error propagation. In D. Rumelhart and J. McClelland, editors, Parallel Distributed Processing, pages 318-362. MIT Press.
    • (1986) Parallel Distributed Processing , pp. 318-362
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.