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Research on Industry Selection of Wetland Ecological Restoration Based on Data Mining

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

Wetland ecological restoration industry is one of the important development areas in China, and the contradiction between wetland protection and development and utilization has become increasingly prominent. This paper analyzes the principles of wetland ecological restoration based on data mining, including the principle of integrity and dominance, the principle of regional, the principle of optimal benefit and coordinated development, and the principle of sustainable development; it defines the objectives of wetland ecological restoration, and determines the basis of classification of ecological restoration types from three aspects of natural conditions, ecological functions and industrial development. Finally, the types of wetland ecological restoration are divided into revetment restoration, ecosystem restoration, environmental restoration and industrial restoration, and the ecological restoration methods and typical case areas corresponding to different restoration types of wetland ecological restoration industry based on data mining are analyzed.

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Correspondence to Fushan Zheng .

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Zheng, F., Dong, H., Wang, F. (2021). Research on Industry Selection of Wetland Ecological Restoration Based on Data Mining. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_62

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