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Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning |
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| Authors: | Xie Xiaoliang Zuo Jinxia Xie Bingqi Dooling Thomas A. Mohanarajah Selvarajah |
| Affiliation: | 1.College of Mathematics and Statistics, Hunan University of Technology and Business, Changsha, 410205, China ;2.Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha, 410205, China ;3.Key Laboratory of Hunan Province for Statistical Learning and Intelligent Computation, Hunan University of Technology and Business, Changsha, 410205, China ;4.Department of Chemistry and Physics, University of North Carolina At Pembroke, Pembroke, NC, 28372, USA ;5.Department of Mathematics and Computer Science, University of North Carolina At Pembroke, Pembroke, NC, 28372, USA ; |
| Abstract: | Natural Hazards - From a macro-perspective, based on machine learning and data-driven approach, this paper utilizes multi-featured data from 31 provinces and regions in China to build a Bayesian... |
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