Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery

• Main Authors: Li, Huanhuan, Lam, Jasmine Siu Lee, Yang, Zaili, Liu, Jingxian, Liu, Ryan Wen, Liang, Maohan, Li, Yan
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Pattern Extraction; Knowledge Discovery
• Online Access: https://hdl.handle.net/10356/163522
• Institution: Nanyang Technological University

Owing to the space–air–ground integrated networks (SAGIN), seaborne shipping has attracted increasing interest in the research on the motion behavior knowledge extraction and navigation pattern mining problems in the era of maritime big data for improving maritime traffic safety management. This stu...