Maritime Traffic Data Mining Using R

被引:0
|
作者
Hadzagic, Melita [1 ]
St-Hilairet, Marie-Odette [2 ]
Webb, Sean [3 ]
Shahbazian, Elisa [2 ]
机构
[1] Univ Montreal, OODA Technol Inc, Montreal, PQ, Canada
[2] OODA Technol Inc, Montreal, PQ, Canada
[3] Def R&D Canada Atlantic, Dartmouth, NS, Canada
关键词
maritime traffic data; AIS; data mining; R; AIS DATABASE;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Human operators trying to establish individual or collective maritime situational awareness often find themselves overloaded by huge amounts of information obtained from multiple and possibly dissimilar sources. This paper explores potential use of open source data mining tools, in particular R software, to enable discovery of maritime traffic patterns. It also presents an assessment of R software as a data mining tool using spatio-temporal maritime traffic data such as from the Automatic Identification System (AIS), and includes scenarios of potential interest to the maritime environment.
引用
收藏
页码:2041 / 2048
页数:8
相关论文
共 50 条
  • [41] Visualizing big network traffic data using frequent pattern mining and hypergraphs
    Eduard Glatz
    Stelios Mavromatidis
    Bernhard Ager
    Xenofontas Dimitropoulos
    [J]. Computing, 2014, 96 : 27 - 38
  • [42] Hybrid Approach for Detection of Anomaly Network Traffic using Data Mining Techniques
    Agarwal, Basant
    Mittal, Namita
    [J]. 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING & SECURITY [ICCCS-2012], 2012, 1 : 996 - 1003
  • [43] Big Data Mining for Smart Cities: Predicting Traffic Congestion using Classification
    Mystakidis, Aristeidis
    Tjortjis, Christos
    [J]. 2020 11TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA 2020), 2020, : 135 - 142
  • [44] Using Data Mining Techniques for Optimizing Traffic Signal Plans at an Urban Intersection
    Last, Mark
    Avrahami, Gil
    Kandel, Abraham
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2011, 26 (07) : 603 - 620
  • [45] Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data
    Qu, Jingxiang
    Liu, Ryan Wen
    Guo, Yu
    Lu, Yuxu
    Su, Jianlong
    Li, Peizheng
    [J]. OCEAN ENGINEERING, 2023, 275
  • [46] Data Mining for Bibliometric Analysis of Traffic Flow
    Wu, Chaozhong
    Lei, Hu
    Yan, Xinping
    Zhou, Feng
    [J]. PROCEEDINGS OF THE 2009 SECOND PACIFIC-ASIA CONFERENCE ON WEB MINING AND WEB-BASED APPLICATION, 2009, : 28 - +
  • [47] Calibration of Traffic Dynamics Models with Data Mining
    Jiang, Zhu
    Zhang, Yan
    Huang, Yong-xuan
    Li, Ji-sheng
    [J]. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 637 - 642
  • [48] Forecasting WiMAX traffic by data mining methodology
    Stolojescu-Crisan, Cristina
    Isar, Alexandru
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2013,
  • [49] Mining Moving Object, Trajectory and Traffic Data
    Han, Jiawei
    Li, Zhenhui
    Tang, Lu An
    [J]. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PT II, PROCEEDINGS, 2010, 5982 : 485 - 486
  • [50] Forecasting WiMAX traffic by data mining methodology
    Cristina Stolojescu-Crisan
    Alexandru Isar
    [J]. EURASIP Journal on Wireless Communications and Networking, 2013