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Application of Data Mining in Relationship between Water Quantity and Water Quality

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Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

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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© 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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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