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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Demin Liu Daiyong Cao Shangxian Yin Yongjun Li Huiqing Lian |
| Copyright Year | 2011 |
| Description | Author affiliation: College Of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing) (Demin Liu; Daiyong Cao) || Safety Engineering College, North China Institute of Science and Technology, Beijing, China (Shangxian Yin; Yongjun Li; Huiqing Lian) |
| Abstract | The floor water inrush is a geology hazard in China. Tt is a complex nonequilibrium and nonlinear evolution process which is affected by many factors. Spatial Data mining (SDM) can reveal spatial patterns and features of water inrush. With the SDM technique, the water inrush dangerousness of 9# coal floor of zhangcun coal mine was evaluated. The result shows that the SDM technique is a feasible effective method to evaluate water inrush dangerousness of coal floor. |
| Starting Page | 87 |
| Ending Page | 89 |
| File Size | 116621 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424483525 |
| e-ISBN | 9781424483518 |
| DOI | 10.1109/ICSDM.2011.5969010 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Water GIS Coal floor Geographic Information Systems Coal Artificial neural networks Spatial databases Data mining Surges Water inrush Floors Spatial Data mining |
| Content Type | Text |
| Resource Type | Article |
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