Construction of marine ship automatic identification system data mining platform based on big data

Issue title: Special issue: Fuzzy Systems in Distributed Sensing Applications

Guest editors: Mohamed Elhoseny and X. Yuan

Article type: Research Article

Authors: Lv, Shenmin^{; *}

Affiliations: Shan Dong Women’s University, Jinan Shandong, China

Correspondence: [*] Corresponding author. Shenmin Lv, Shan Dong Women’s University, Jinan Shandong 250300, China. E-mail: goldenchain@sohu.com.

Abstract: In order to process massive Marine Ship Automatic Identification System (AIS) data in real time and extract the required information from it used for subsequent data mining and rule extraction, based on big data background, cloud computing and distributed technology are applied, and combined with data mining methods, the massive AIS data mining platform is designed and realized, and the ship trajectory is analyzed with big data. The research results show that the cloud computing distributed technology AIS data mining platform studied is feasible, which has practical value and significance.

Keywords: AIS data, cloud computing, distributed technology, big data

DOI: 10.3233/JIFS-179487

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1249-1255, 2020