메뉴 건너뛰기




Volumn , Issue , 2011, Pages 772-775

Mining ship spatial trajectory patterns from AIS database for maritime surveillance

Author keywords

AIS; Association Rule; Data Mining; Data Warehouse; Marine Traffic

Indexed keywords

AIS; APPLICATION DOMAINS; AUTOMATICAL IDENTIFICATION; DATABASE MANAGEMENT; ELECTRONIC CHART SYSTEM; HOME LAND SECURITY; MARINE TRAFFIC; MARITIME SAFETY; MARITIME SURVEILLANCE; SPATIAL TRAJECTORY; TRAFFIC FLOW; TRAJECTORY PATTERN; VESSEL TRAFFIC SERVICE;

EID: 80053311589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMMS.2011.6015796     Document Type: Conference Paper
Times cited : (38)

References (12)
  • 2
    • 50149119940 scopus 로고    scopus 로고
    • Probabilistic associative learning of vessel motion patterns at multiple spatial scales for maritime situation awareness
    • Qúebec, Canada, July
    • B. J. Rhodes, N. A. Bomberger, and M. Zandipour, "Probabilistic associative learning of vessel motion patterns at multiple spatial scales for maritime situation awareness," in Proc. Int. Conf. Information Fusion, Qúebec, Canada, July 2007.
    • (2007) Proc. Int. Conf. Information Fusion
    • Rhodes, B.J.1    Bomberger, N.A.2    Zandipour, M.3
  • 5
    • 19544390136 scopus 로고    scopus 로고
    • Development and analysis of AIS applications as an efficient tool for vessel traffic service
    • Shwu-Jing Chang, "Development and analysis of AIS applications as an efficient tool for Vessel Traffic Service", Proceedings of IEEE Oceans'04/ TECHNO-Ocean'04, pp. 2249-2253, 2004
    • (2004) Proceedings of IEEE Oceans'04/ TECHNO-ocean'04 , pp. 2249-2253
    • Chang, S.-J.1
  • 6
    • 80053333287 scopus 로고    scopus 로고
    • www.dkart.ru/index3.htm.
  • 8
    • 70350509531 scopus 로고    scopus 로고
    • HeFei: University of science and technology of china press
    • ZHU Ming. Data Mining [M]. HeFei: University of science and technology of china press, 2002.
    • (2002) Data Mining [M]
    • Zhu, M.1
  • 11
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imielinski, A. Swami, "Mining Association Rules between Sets of Items in Large Databases", SIGMOD'93, pp. 207-216, 1993.
    • (1993) SIGMOD'93 , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.