Overview of AIS data mining in water transport using machine learning

The table shows the application of AIS data mining for different purposes within water transport. Data mining is the process of discovering patterns and extracting useful information from large datasets. In the context of water transport, data mining can be used to analyze Automatic Identification System (AIS) data to identify patterns in vessel movement and behavior. The aim of data mining is to construct a standardized AIS database that will be usable for research. This can be useful for clustering and extraction of ship routes, ship classification, maritime anomaly detection, ship route prediction to detect illegal activities, illegal fishing activity, optimize shipping routes, improve vessel safety and other applications.