Dimitris Zissis will be the keynote speaker at the 3rd IEEE Intl. Maritime Big Data Workshop (MBDW 2022) collocated with the 23rd IEEE Intl. Conference on Mobile Data Management (MDM 2022) June 6, 2022, Paphos, Cyprus.
Talk Abstract: The analysis of trajectories created by moving objects (such as ships, cars and planes) exhibits unique challenges, while it is extensively used in several real world applications. These trajectories are often voluminous and noisy, requiring processing approaches that respect the spatial and temporal characteristics of the data. The resulting analysis often holds critical insights for the respective domainσ, such as methods for improving ship maneuvering, accurate voyage forecasting, safe traveling and many more. In this talk, we will discuss both introductory and advanced topics, related to the analysis of moving objects trajectories, while focusing on the maritime domain. We will focus on data generated by ships and present methods deployed in real world settings. In this context, we describe methods of trajectory pattern mining in big data conditions, while presenting results from our recent work in determining the impact that the COVID-19 pandemic had on shipping.
Find out more at https://mbdw22.cs.ucy.ac.cy/index.html