Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction

Angelos Valsamis, Konstantinos Tserpes, Dimitrios Zissis +2

In this paper, we model the trajectory of sea vessels and provide a service that predicts in near-real time the position of any given vessel in 4', 10', 20' and 40' time intervals.…