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27 August 2020 Research on Key Technologies of Spatio-Temporal Analysis and Prediction of Marine Ecological Environment Based on Association Rule Mining Analysis
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Abstract

Guo, Y.; Li, F., and Du, Q.Y., 2020. Research on key technologies of spatio-temporal analysis and prediction of marine ecological environment based on association rule mining analysis. 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. 302-307. Coconut Creek (Florida), ISSN 0749-0208.

With the upsurge of Marine development, Marine ecological environment is polluted, ecosystem structure degradation, red tide and other environmental problems. Aiming at the demand of spatio-temporal correlation analysis and dynamic prediction of Marine ecological environment, this paper analyzes the spatio-temporal evolution pattern of Marine ecological and marine conditions from the perspectives of distribution characteristics, distribution patterns and spatio-temporal variations. In order to explore the correlation and correlation between the temporal and spatial evolution of Marine ecological environment phenomena and environmental factors, a temporal and spatial mining analysis framework based on association rules was designed.

©Coastal Education and Research Foundation, Inc. 2020
Ye Guo, Fan Li, and Qunying Du "Research on Key Technologies of Spatio-Temporal Analysis and Prediction of Marine Ecological Environment Based on Association Rule Mining Analysis," Journal of Coastal Research 115(sp1), 302-307, (27 August 2020). https://doi.org/10.2112/JCR-SI115-095.1
Received: 1 February 2020; Accepted: 11 May 2020; Published: 27 August 2020
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