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Shipping industry is an important part of the transportation industry. Small and medium-sized shipping enterprises play an important part in protecting the internal vitality of the shipping industry. However, there is no research on the definition of large and medium-sized shipping enterprises. Data mining method has become a convenient tool for mining the value of large data. This study first defines of shipping enterprises, and then discusses the definition of small and medium-sized coastal dry bulk shipping enterprises for the first time from the perspective of large data. This study is the first time to apply the cluster analysis method to research the data value of shipping enterprises, aiming to quantitatively define the scale of coastal dry bulk shipping enterprises from the perspective of large data. This research is the first time to establish a data mining model based on large data of shipping enterprises. The shipping capacity data, ship data and financial operation data are selected as data variables. With the selected data variables, data standardization, outlier processing and clustering analysis are carried out step by step. Taking the coastal dry bulk shipping enterprises as an example, the model is analysed. Through data mining, we get the main influence data variables that distinguish large and medium-sized coastal dry bulk shipping enterprises, and get the quantitative definition results of coastal dry bulk shipping enterprises. The research results serve as a basis for further analysis of dry bulk shipping enterprises, and the research method can be used as a tool for the scale classification of other shipping enterprises.

Research on the Definition of Small and Medium-sized Coastal Dry Bulk Shipping Enterprises Based on Data Mining