Mobility Data Mining: the Maritime Use Case
Abstract
Maritime mobility monitoring can be achieved through remote sensing and self-reporting systems, which produce large datasets enabling the extraction of valuable information on global shipping trends. This extraction can be defined as a data mining task of transforming huge amounts of geospatial data, into a descriptive and compact data model, that can then be used for identifying the underlying relationships or patterns. In this work, we present a brief overview of mobility data mining as applied to the maritime use case. We highlight its unique aspects, identify six major data mining tasks, discuss indicative approaches found in literature, and address some challenges for future work.
Publication Date
7-23-2024
Journal Title
2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
Rights
© 2024, IEEE
Publisher
IEEE
Digital Object Identifier (DOI)
https://dx.doi.org/10.1109/MetroAeroSpace61015.2024.10591577
Document Type
Article
Recommended Citation
A. Troupiotis-Kapeliaris, D. Zissis, S. Kohlbrenner and C. Kastrisios, "Mobility Data Mining: the Maritime Use Case," 2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Lublin, Poland, 2024, pp. 207-212, doi: 10.1109/MetroAeroSpace61015.2024.10591577. keywords: {Conferences;Metrology;Market research;Data models;Geospatial analysis;Data mining;Task analysis;maritime monitoring;data mining;trajectory analytics;pattern mining;predictive analytics},
