LAUSR

ABSTRACT Zhang, C. and Shao, X., 2020. Research on intelligent analysis of port logistics information based on dynamic data mining. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 93-95. Coconut Creek (Florida), ISSN 0749-0208. Intelligent port logistics information analysis strategies and methods are of great value for improving port logistics information management and service quality, promoting the development of logistics information management theory, and promoting the application of information technology in logistics enterprises. With the gradual arrival of the data age, useful data behind a large amount of data needs to be mined. Data mining plays an important role in data analysis and is widely used in many fields. As the starting point and end point of maritime transportation, the junction point of various production factors and the junction point of important information, modern ports integrate commodity flow, information flow, capital flow and talent flow. In the long-term operation of port logistics, a large number of dynamic data have been accumulated. It has become a common cognition to strengthen the mining of these data values. According to the dynamic characteristics of port logistics information, this paper proposes an intelligent analysis strategy of port logistics information based on dynamic data mining technology.