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Volumn 85, Issue , 2010, Pages 43-50

A multi-agent data mining system for defect forecasting in a decentralized manufacturing environment

Author keywords

data mining techniques; decentralized manufacturing; Multi agent system

Indexed keywords

A PLANTS; COMPLEX PRODUCTION; DATA MINING SYSTEM; DATA MINING TECHNIQUES; DECISION MAKING PROCESS; ENVIRONMENTAL FOOTPRINTS; INTERNAL DEFECTS; LEARNING CONTEXT; MANUFACTURING ENVIRONMENTS; MANUFACTURING PLANT; MANUFACTURING PROCESS; PICKLING LINES;

EID: 80053044460     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-16626-6_5     Document Type: Conference Paper
Times cited : (2)

References (6)
  • 1
    • 33745406581 scopus 로고    scopus 로고
    • Unsupervised extraction and quantification of the bronchial tree on ultra-low-dose vs. standard dose CT
    • San Diego CA
    • Wiemker, R., Ekin, A., Opfer, R., Bülow, T., Rogalla, T.: Unsupervised extraction and quantification of the bronchial tree on ultra-low-dose vs. standard dose CT. In: Proceedings of the SPIE, San Diego CA, vol. 6143 (2006)
    • (2006) Proceedings of the SPIE , vol.6143
    • Wiemker, R.1    Ekin, A.2    Opfer, R.3    Bülow, T.4    Rogalla, T.5
  • 2
    • 77954177613 scopus 로고    scopus 로고
    • Applying process mining approach to support the verification of a multi-agent system
    • Ou-Yang, C., Juan, Y. C.: Applying process mining approach to support the verification of a multi-agent system. Journal of Systems Science and Systems Engineering 19(2), 131-149 (2010)
    • (2010) Journal of Systems Science and Systems Engineering , vol.19 , Issue.2 , pp. 131-149
    • Ou-Yang, C.1    Juan, Y.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.