Abstract
From the angle of data mining, we adopt association rules, clustering and other technologies to obtain the association between the water quality under WangTing gate with the sub-flow on both sides of WangYu River. In order to have a comprehensive analysis about the impact that diverting water from ChangShu hub and sub-flow on both sides of WangYu river making on the water quality, this article introduces a new conception: the efficiency of diverting water from ChangShu hub to Taihu lake, and obtain the association between the efficiency and water quality of inflow, providing technical support of further analysis on diverting water from the Yangtze’s role in improving water quality, water environment of the Taihu Lake and the basin.
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References
Liu, N.: A Preliminary Exploitation of Experiment Project of Water Diversion from the Yangtze River to Taihu Lake. China Water Kesources (2004)
Aumann, Y., Lindell, Y.: A Statistical Theory for Quantitative Association Rules. Intelligent Information Systems 20(3), 255–283 (2003)
Srikant, R., Agrawal, R.: Mining Quantitative Association Rules in Large Relational Tables. In: Proc. SIGMOD, pp. 1–12 (1996)
Fukuda, T., Morimoto, Y., Morishita, S., et al.: Mining Optimized Association Rules for Numeric Attributes. In: Proceedings of the 15th ACMSIGACT-SIGMOD-SIGART Symposium on Principles of Databases Systems (PODS 1996), pp. 182–191 (1996)
Kuok, C.M., Fu, A., Wong, M.H.: Mining Fuzzy Association Rules in Database. ACM SIGMOD Record 27(1), 41–46 (1998)
Fu, A.W.-C., Wong, M.H., Sze, S.C., et al.: Finding Fuzzy Sets for the Mining of Fuzzy Association Rules for Numerical Attributes. In: Proceedings of the 1st International Symposium on Intelligent Data Engineering and learning (IDEAL 1998), pp. 263–268 (1998)
Zhu, X.: Application of nonparametric statistic in market research. Statistical Education (2004)
Study on key technologies of Yangtze-Taihu Water Diversion, pp. 182–183 (2010)
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© 2011 Springer-Verlag Berlin Heidelberg
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Wan, D., Wu, H., Li, S., Cheng, F. (2011). Application of Data Mining in Relationship between Water Quantity and Water Quality. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_53
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DOI: https://doi.org/10.1007/978-3-642-23881-9_53
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