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Data mining approaches on discovering knowledge for decision makers: towards sustainable groundwater resources management

Taheri, H., Safavi, H.R., Saraee, M and Afghari, N 2010, Data mining approaches on discovering knowledge for decision makers: towards sustainable groundwater resources management , in: 2010 IEEE International Conference on Advanced Management Science (ICAMS), 9-11 July 2010, Chengdu, China..

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    Abstract

    Rapid population growth, increased irrigation, and industrial development, dramatically increased risk of vulnerability in water resources especially groundwater resources all over the world. Because of the complexity of water resources management, the traditional knowledge and management cannot be responsible for today. Besides, in recent years more and more data are available and as computational power increases, the idea of data mining has emerged too. With data mining, the information obtained from different sources can be converted to useful knowledge. In this paper, data mining techniques are used to discover knowledge from the available database in a systematic manner (KDD). The results show that thanks to data mining techniques, useful direct, indirect and summarized knowledge are discovered for decision makers in the study area to empower them for better sustainable groundwater resources management.

    Item Type: Conference or Workshop Item (Paper)
    Themes: Energy
    Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: Proceedings of 2010 IEEE International Conference on Advanced Management Science (ICAMS)
    Publisher: IEEE
    Refereed: Yes
    Depositing User: Dr Mo Saraee
    Date Deposited: 27 Oct 2011 11:22
    Last Modified: 20 Aug 2013 18:16
    URI: http://usir.salford.ac.uk/id/eprint/18715

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