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Volumn 24, Issue 2-7, 2000, Pages 471-474

Supervised learning for the analysis of process operational data

Author keywords

Classification; Data mining; Machine learning; Operational knowledge

Indexed keywords

ALGORITHMS; CHEMICAL OPERATIONS; CHEMICAL PLANTS; DATA MINING; DATA RECORDING; DATA REDUCTION; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; PROCESS ENGINEERING;

EID: 0034660730     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00497-X     Document Type: Conference Paper
Times cited : (13)

References (9)
  • 1
    • 33646278031 scopus 로고    scopus 로고
    • Tokyo: Japan Society for Science Promotion
    • 143rd committee on Process Systems Engineering ed. (2000). Technical Report No.21: Intelligent Monitoring. Tokyo: Japan Society for Science Promotion.
    • (2000) Technical Report No.21: Intelligent Monitoring , vol.21
  • 2
    • 0000217085 scopus 로고
    • Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
    • Aha, D. W. (1992). Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms. International Journal of Man-Machine Studies, 36, 267-287.
    • (1992) International Journal of Man-Machine Studies , vol.36 , pp. 267-287
    • Aha, D.W.1
  • 3
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U. M. Fayyad, & P. Smyth, Menlo Park: AAAI Press
    • Fayyad, U. M, Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery: An overview. In U. M. Fayyad, & P. Smyth, Advance in Knowledge Discovery and Data Mining (pp. 1-34). Menlo Park: AAAI Press.
    • (1996) Advance in Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 6
    • 0001214429 scopus 로고    scopus 로고
    • Data mining and knowledge discovery: A review of issues and multistrategy approach
    • R. S. Michakski, I. Bratko, & M. Kubat, New York: Wiley
    • Michalski, R. S., & Kaufman, K. A. (1998). Data mining and knowledge discovery: A review of issues and multistrategy approach. In R. S. Michakski, I. Bratko, & M. Kubat, Machine Learning and Data Mining (pp. 71-112). New York: Wiley.
    • (1998) Machine Learning and Data Mining , pp. 71-112
    • Michalski, R.S.1    Kaufman, K.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.