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4 November 2020 Data Warehouse and Data Mining Based on Marine Environment
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Abstract

Dong, X., 2020. Data warehouse and data mining based on marine environment. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 394-397. Coconut Creek (Florida), ISSN 0749-0208.

In this paper, the stereoscopic monitoring data warehouse and service system of dynamic marine environment (MOSS) is taken as an example to discuss the data warehouse integration scheme and information sharing model for dynamic marine environment monitoring data. The mining method based on association rules is introduced to analyze the major and trace elements in the marine environment of the Yangtze River Estuary. Classification and analysis are performed according to the data mining association rules method.

©Coastal Education and Research Foundation, Inc. 2020
Xiaowei Dong "Data Warehouse and Data Mining Based on Marine Environment," Journal of Coastal Research 112(sp1), 394-397, (4 November 2020). https://doi.org/10.2112/JCR-SI112-104.1
Received: 30 June 2020; Accepted: 3 August 2020; Published: 4 November 2020
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