Title :
Classification Method of Navigational Aids in Inland Waters Based on Big Data
Author :
Xiaocai Zhang;Lining Zhao;Haibao Wang;Haijiang Li
Author_Institution :
Navig. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
Remote Monitoring and Controlling System for navigational aids belongs to a significant subsystem of ITS in water transport. The area of implementation is becoming wider and wider. The work covers clustering and classification of navigational aids based on Big Data. Purpose of the work is to explore a more scientific classification method in order to avoid man-made subjective arbitrary interferences. Besides, simulation experiment has shown the effectiveness, feasibility and practicability of classification of navigational aids. In addition, mode of hierarchical management of navigational aids is designed.
Keywords :
"Navigation","Classification algorithms","Clustering algorithms","Big data","Filling","Standards","Data mining"
Conference_Titel :
Frontier of Computer Science and Technology (FCST), 2015 Ninth International Conference on
DOI :
10.1109/FCST.2015.67