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Notice of Retraction
Data mining approaches on discovering knowledge for decision makers: Towards sustainable groundwater resources management

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4 Author(s)
H. Taheri ; Department of Civil Engineering, Isfahan University of Technology, Iran, 84156-83111 ; H. R. Safavi ; M. Saraee ; N. Afghari

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting

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.

Published in:

Advanced Management Science (ICAMS), 2010 IEEE International Conference on  (Volume:3 )

Date of Conference:

9-11 July 2010