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Canadian Water Resources Journal / Revue canadienne des ressources hydriques Volume 38, 2013 - Issue 1: Tackling Challenging Water Resources Problems in Canada: A Systems Approach
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Articles

Application of parallel computing in data mining for contaminant source identification in water distribution systems

Hailiang Shen School of Engineering, University of Guelph, Guelph, ON., N1G 2W1, CA
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Edward A. McBean School of Engineering, University of Guelph, Guelph, ON., N1G 2W1, CA. 1-519-824-4120 ext 53923Correspondence[email protected]
Pages 34-39 | Published online: 28 Mar 2013

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Keith W. Hipel, Liping Fang, Taha B.M.J. Ouarda & Michele Bristow. (2013) An Introduction to the special issue on tackling challenging water resources problems in Canada: a systems approach. Canadian Water Resources Journal / Revue canadienne des ressources hydriques 38:1, pages 3-11.
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Articles from other publishers (4)

Soumya Ranjan Nayak, S Sivakumar, Akash Kumar Bhoi, Gyoo-Soo Chae & Pradeep Kumar Mallick. (2021) Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining. The International Journal of Electrical Engineering & Education, pages 002072092098849.
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Chengyu Hu, Ming Li, Deze Zeng & Song Guo. (2016) A survey on sensor placement for contamination detection in water distribution systems. Wireless Networks 24:2, pages 647-661.
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Chengyu Hu, Guo Ren, Chao Liu, Ming Li & Wei Jie. (2017) A Spark-based genetic algorithm for sensor placement in large scale drinking water distribution systems. Cluster Computing 20:2, pages 1089-1099.
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Amin Rasekh & Kelly Brumbelow. (2014) Drinking water distribution systems contamination management to reduce public health impacts and system service interruptions. Environmental Modelling & Software 51, pages 12-25.
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