Name
Title | ||
|---|---|---|
Sea Area Monitoring and Analysis of Fishing Vessels Activity: The i4sea Big Data Platform |
Abstract | ||
|---|---|---|
The i4sea research project provides effective and efficient big data integration, processing and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in national sea areas. This paper presents the architecture of the i4sea big data platform for sea area monitoring and analysis of fishing vessels activity and demonstrates the operation of some use-case pilot scenarios. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MDM48529.2020.00063 | 2020 21st IEEE International Conference on Mobile Data Management (MDM) |
Keywords | DocType | ISSN |
big data,fishing,vessel activity,machine learning | Conference | 1551-6245 |
ISBN | Citations | PageRank |
978-1-7281-4664-5 | 2 | 0.37 |
References | Authors | |
0 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panagiotis Tampakis | 1 | 19 | 5.18 |
| Eva Chondrodima | 2 | 5 | 2.85 |
| Aggelos Pikrakis | 3 | 191 | 24.44 |
| Y. Theodoridis | 4 | 168 | 20.62 |
| Kostis Pristouris | 5 | 2 | 0.37 |
| Harry Nakos | 6 | 2 | 0.37 |
| Eleni Petra | 7 | 2 | 0.37 |
| Theodore Dalamagas | 8 | 792 | 61.84 |
| Andreas Kandiros | 9 | 2 | 0.37 |
| Georgios Markakis | 10 | 2 | 0.37 |
| Irida Maina | 11 | 2 | 0.37 |
| Stefanos Kavadas | 12 | 2 | 0.37 |