Classification and regression tree theory application for assessment of building damage caused by surface deformation
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DOI: 10.1007/s11069-014-1070-2
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- Yang, Chun-Chieh & Prasher, Shiv O. & Enright, Peter & Madramootoo, Chandra & Burgess, Magdalena & Goel, Pradeep K. & Callum, Ian, 2003. "Application of decision tree technology for image classification using remote sensing data," Agricultural Systems, Elsevier, vol. 76(3), pages 1101-1117, June.
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- Fatma Yerlikaya-Özkurt & Aysegul Askan, 2020. "Prediction of potential seismic damage using classification and regression trees: a case study on earthquake damage databases from Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3163-3180, September.
- Deeksha Tayal & Sourabh Paul, 2021. "Labour Force Participation Rate of Women in Urban India: An Age-Cohort-Wise Analysis," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(3), pages 565-593, September.
- Jan Blachowski, 2016. "Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 997-1014, November.
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Keywords
Subsidence; Building damage; Classification and regression tree theory; Hazard estimation;All these keywords.
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