Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data

  title={Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data},
  author={G. Spiliopoulos and K. Chatzikokolakis and Dimitrios Zissis and Evmorfia Biliri and Dimitrios Papaspyros and Giannis Tsapelas and S. Mouzakitis},
  journal={2017 IEEE International Conference on Big Data (Big Data)},
  • G. Spiliopoulos, K. Chatzikokolakis, +4 authors S. Mouzakitis
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Big Data (Big Data)
  • In this paper we attempt to define the major trade routes which vessels of trade follow when travelling across the globe in a scalable, data-driven unsupervised way. For this, we exploit a large volume of historical AIS data, so as to estimate the location and connections of the major trade routes, with minimal reliance on other sources of information. We address the challenges posed due to the volume of data by leveraging distributed computing techniques and present a novel MapReduce based… CONTINUE READING
    8 Citations
    Distributed Execution of Spatial SQL Queries
    • 1
    • PDF
    Big maritime data for the Baltic Sea with a focus on the winter navigation system
    • 9
    • PDF
    Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
    • PDF


    Using machine learning for unsupervised maritime waypoint discovery from streaming AIS data
    • 18
    ST-DBSCAN: An algorithm for clustering spatial-temporal data
    • 775
    • PDF
    Clustering Big Spatiotemporal-Interval Data
    • 30
    Visualization of vessel movements
    • 197
    Development and validation of OPTICS based spatio-temporal clustering technique
    • 19
    Discovering vessel activities at sea using AIS data: Mapping of fishing footprints
    • 70
    Data clustering: 50 years beyond K-means
    • A. Jain
    • Computer Science
    • Pattern Recognit. Lett.
    • 2010
    • 2,362
    Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
    • 99
    • PDF
    A method for detecting possible near miss ship collisions from AIS data
    • 101