Big Data for Anomaly Detection in Maritime Surveillance: Spatial AIS Data Analysis for Tankers Cover

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Big Data for Anomaly Detection in Maritime Surveillance: Spatial AIS Data Analysis for Tankers

Maritime Technical Journal

Volume 215 (2018): Issue 4 (December 2018)

By: Dominik Filipiak, Milena Stróżyna, Krzysztof Węcel and Witold Abramowicz

Open Access

|Feb 2019

Authors

Dominik Filipiak

dominik.filipiak@ue.poznan.pl

Poznan University of Economics and Business, Department of Information Systems, Poznań, Poland

Milena Stróżyna

milena.strozyna@ue.poznan.pl

Poznan University of Economics and Business, Department of Information Systems, Poznań, Poland

Krzysztof Węcel

krzysztof.wecel@ue.poznan.pl

Poznan University of Economics and Business, Department of Information Systems, Poznań, Poland

Witold Abramowicz

witold.abramowicz@ue.poznan.pl

Poznan University of Economics and Business, Department of Information Systems, Poznań, Poland

DOI: https://doi.org/10.2478/sjpna-2018-0024 | Journal eISSN: 2657-7291

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Language: English

Page range: 5 - 28

Submitted on: May 8, 2018

Accepted on: Nov 12, 2018

Published on: Feb 1, 2019

Published by: Polish Naval Academy

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

maritime surveillance,

anomaly detection,

Related subjects:

Electrical engineering,

Fundamentals of electrical engineering,

Mechanical engineering,

Fundamentals of mechanical engineering,

© 2019 Dominik Filipiak, Milena Stróżyna, Krzysztof Węcel, Witold Abramowicz, published by Polish Naval Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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