Data Mining Approaches on Discovering Knowledge for Decision Makers:Towards Sustainable Groundwater Resources Management
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.
sustainable groundwater resources management knowledge data mining kdd
H.Taheri H.R.Safavi M.Saraee N.Afghari
Department of Civil Engineering Isfahan University of Technology Isfahan, Iran, 84156-83111 School of Computing, Science and Engineering University of Salford Greater Manchester, UK Department of Computer Engineering,IAUN Najafabad.Iran
国际会议
成都
英文
718-723
2010-07-09（万方平台首次上网日期，不代表论文的发表时间）