摘要
数据挖掘是指通过对数据进行特定分析,揭示数据内部蕴藏的联系和规律,以供后续应用。数据挖掘技术的应用早已引起信息产业界的广泛关注。在快速增长的数据量和匮乏的信息量之间矛盾的作用下,数据挖掘技术随着涉及学科的发展而不断进化。海上交通特征分析的基本目的是通过特定算法对收集到的海上数据进行充分分析,以便从微观和宏观上掌握海上船舶的运行情况、特征及规律,为港口规划和管理做充分理论依托。本文基于对AIS数据的研究,通过数据挖掘技术分析厦门港航道的交通状况。
Data mining refers to the analysis of the data through specific analysis,revealing the internal relations and rules of the data for the subsequent application. The application of data mining technology has already caused wide attention in the information industry. Under the contradiction between the rapid growth of data quantity and the lack of information,the data mining technology is evolving with the development of the subject. The basic objective of marine traffic characteristics analysis is to grasp ship operation,the characteristic and the rule from the micro and macro through fully analyzing the collected marine data through a specific algorithm, and do sufficient theoretical basis for port planning and management. Based on the research of AIS data,this paper analyzes the traffic situation of Xiamen port through the data mining technology.
出处
《舰船科学技术》
北大核心
2016年第8X期88-90,共3页
Ship Science and Technology
