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

Taheri, H.; Safavi, HR; Saraee, MH; Afghari, N

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.

Citation

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

• Presentation Conference Type: Other
• Conference Name: 2010 IEEE International Conference on Advanced Management Science (ICAMS)
• Conference Location: Chengdu, China.
• Start Date: Jul 9, 2010
• End Date: Jul 11, 2010
• Publication Date: Jan 1, 2010
• Deposit Date: Oct 27, 2011
• Book Title: 2010 IEEE International Conference on Advanced Management Science(ICAMS 2010)
• DOI: https://doi.org/10.1109/ICAMS.2010.5552866
• Publisher URL: http://dx.doi.org/10.1109/ICAMS.2010.5552866
• Additional Information: Event Type : Conference