Publikation: VAST 2024-MC2 Challenge
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2024 IEEE Visual Analytics Science and Technology VAST Challenge. Piscataway, NJ: IEEE, 2024, S. 1-2. ISBN 979-8-3315-1727-4. Verfügbar unter: doi: 10.1109/vastchallenge64683.2024.00005
Zusammenfassung
This paper presents the comprehensive analysis and visualizations developed by the FES-MC2-1 team for the VAST Challenge 2024, Mini-Challenge 2. The challenge required us to analyze port exit records, transponder ping data, and cargo delivery reports to associate vessels with their probable cargos, identify seasonal trends and anomalies, and detect illegal fishing activities by SouthSeafood Express Corp vessels. Utilizing a combination of advanced visual analytics tools—including Tableau, Python, React, Docker, Postgresql, Nginx and custom-developed solutions from the University of Konstan—our team uncovered patterns in the data that reveal suspicious activities and significant shifts in fishing behavior following the crackdown on illegal operations.
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2024 IEEE Visual Analytics Science and Technology VAST Challenge, 13. Okt. 2024, St. Pete Beach, FL, USA
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AYDIN, Funda Yildiz, Mehmet Emre SAHIN, Sinem Bilge GÜLER, Udo SCHLEGEL, Daniel A. KEIM, 2024. VAST 2024-MC2 Challenge. 2024 IEEE Visual Analytics Science and Technology VAST Challenge. St. Pete Beach, FL, USA, 13. Okt. 2024. In: 2024 IEEE Visual Analytics Science and Technology VAST Challenge. Piscataway, NJ: IEEE, 2024, S. 1-2. ISBN 979-8-3315-1727-4. Verfügbar unter: doi: 10.1109/vastchallenge64683.2024.00005BibTex
@inproceedings{Aydin2024-10-132024M-74140,
title={VAST 2024-MC2 Challenge},
year={2024},
doi={10.1109/vastchallenge64683.2024.00005},
isbn={979-8-3315-1727-4},
address={Piscataway, NJ},
publisher={IEEE},
booktitle={2024 IEEE Visual Analytics Science and Technology VAST Challenge},
pages={1--2},
author={Aydin, Funda Yildiz and Sahin, Mehmet Emre and Güler, Sinem Bilge and Schlegel, Udo and Keim, Daniel A.}
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<dcterms:abstract>This paper presents the comprehensive analysis and visualizations developed by the FES-MC2-1 team for the VAST Challenge 2024, Mini-Challenge 2. The challenge required us to analyze port exit records, transponder ping data, and cargo delivery reports to associate vessels with their probable cargos, identify seasonal trends and anomalies, and detect illegal fishing activities by SouthSeafood Express Corp vessels. Utilizing a combination of advanced visual analytics tools—including Tableau, Python, React, Docker, Postgresql, Nginx and custom-developed solutions from the University of Konstan—our team uncovered patterns in the data that reveal suspicious activities and significant shifts in fishing behavior following the crackdown on illegal operations.</dcterms:abstract>
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