Apriori-based Spatial Pattern Mining Algorithm for Big Data
Bao Lei · 2020 International Conference on Urban Engineering and Management Science (ICUEMS) · 2020
With the establishment of recent information system networks, maritime vessel trajectory data are becoming increasingly available. Spatial pattern mining in these data can measure the behaviour of ships in space and time and can be used in traffic monitoring or other security purpose. The difficulty of this topic is that it needs to deal with both highdimensional data and huge amount of data.In this paper, a cooccurrence pattern mining algorithm based on Mapreduce architecture is presented. The algorithm is focused on the mining on spatial co-occurrence pattern, and implemented in the parallel partitioning architecture. The experiments on real data sets show that the large-scale ship trajectory data can be processed effectively.