Analysis of Marine Traffic Flow Characteristics Based on Data Mining
Yongxing Jin · Navigation of China · 2009
The two datamining-based machine learning methods,clustering and graphical property analysis,are introduced to analyze characteristics of vessel traffic flow data.A new way is tried to implement vessel traffic data analysis making use of data mining technique.A similarity-based algorithm,K-Means,is selected in the clustering process for its simplicity and efficiency.The popular data mining tool WEKA is chosen to carry out experiments,the conclusion that clustering is a good way to generalize multi-factor related regulations is obtained according to the data mining results.