Εργαστήριο Γνώσης και Αβεβαιότητας

Knowledge and Uncertainty Research Laboratory

Data Reduction Techniques applied on Automatic Identification System Data

[conference]


Full reference

C. Ifrim, I. Iuga, F. Pop, M. Wallace and V. Poulopoulos, Data Reduction Techniques applied on Automatic Identification System Data, 3rd International KEYSTONE Conference (IKC 2017), Gdańsk, Poland, 11-12 September 2017


Abstract

In recent years, the constant increase of waterway traffic generates a high volume of AIS data that require a big effort to be processed and analyzed in near real-time. In this paper, we analyze an AIS data set and we propose a data reduction technique that can be applied on AIS data without losing any important information in order to reduce it to a manageable size data set that can be further used for analysis or can be easily used for AIS data visualization applications.