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Decision Tree-Based Data Mining and Rule Induction for Identifying High Quality Groundwater Zones to Water Supply Management: a Novel Hybrid Use of Data Mining and GIS |
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| Authors: | Jeihouni Mehrdad Toomanian Ara Mansourian Ali |
| Affiliation: | 1.Deparment of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Azin Alley. 50, Vesal Str., Tehran, Iran ;2.GIS Center, Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden ; |
| Abstract: | Water Resources Management - Groundwater is an important source to supply drinking water demands in both arid and semi-arid regions. Nevertheless, locating high quality drinking water is a major... |
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| 本文献已被 SpringerLink 等数据库收录！ | |