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Volumn 513-517, Issue , 2014, Pages 3309-3312

Research on supply chain abnormal event detection based on the RFID technology

Author keywords

Abnormal detection; Machine learning; RFID

Indexed keywords

ABNORMAL DETECTION; ABNORMAL EVENT DETECTIONS; EVENTS DETECTION; HIGH LEVEL APPLICATIONS; MACHINE LEARNING METHODS; PATH MINING; RFID TECHNOLOGY; SUPPLY NETWORKS;

EID: 84897676725     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.513-517.3309     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 3
    • 70649098143 scopus 로고    scopus 로고
    • Increasing supply-chain visibility with rule-based RFID data analysis [J]
    • Ilic A, Andersen T, Michahelles F. Increasing supply-chain visibility with rule-based RFID data analysis [J]. Internet Computing, IEEE, 2009, 13(1): 31-38.
    • (2009) Internet Computing, IEEE , vol.13 , Issue.1 , pp. 31-38
    • Ilic, A.1    Andersen, T.2    Michahelles, F.3
  • 5
    • 33749412919 scopus 로고    scopus 로고
    • Warehousing and mining massive RFID data sets [M]
    • Springer Berlin Heidelberg
    • Han J, Gonzalez H, Li X, et al. Warehousing and mining massive RFID data sets [M]//Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2006: 1-18.
    • (2006) Advanced Data Mining and Applications , pp. 1-18
    • Han, J.1    Gonzalez, H.2    Li, X.3
  • 7
    • 79953215577 scopus 로고    scopus 로고
    • RFID data processing in supply chain management using a path encoding scheme [J]
    • Lee C H, Chung C W. RFID data processing in supply chain management using a path encoding scheme [J]. Knowledge and Data Engineering, IEEE Transactions on, 2011, 23(5): 742-758.
    • (2011) Knowledge and Data Engineering, IEEE Transactions On , vol.23 , Issue.5 , pp. 742-758
    • Lee, C.H.1    Chung, C.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.