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Predictive Soil Pollution Mapping: A Hybrid Approach for a Dataset With Outliers
Yang, Wentao; Deng, Min*; Yang, Xuexi; Wei, Dongsheng
刊名IEEE Access
2019
卷号7页码:46668-46676
关键词Land pollution geographic information system spatial database data mining
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2907198
URL标识查看原文
WOS记录号WOS:000466220500001
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5726549
专题中南林业科技大学
作者单位[Yang, Wentao] Hunan Univ Sci & Technol, Natl Local Joint Engn Lab Geospatial Informat Tec, Xiangtan 411100, Peoples R China.
推荐引用方式
GB/T 7714
Yang, Wentao,Deng, Min*,Yang, Xuexi,et al. Predictive Soil Pollution Mapping: A Hybrid Approach for a Dataset With Outliers[J]. IEEE Access,2019,7:46668-46676.
APA Yang, Wentao,Deng, Min*,Yang, Xuexi,&Wei, Dongsheng.(2019).Predictive Soil Pollution Mapping: A Hybrid Approach for a Dataset With Outliers.IEEE Access,7,46668-46676.
MLA Yang, Wentao,et al."Predictive Soil Pollution Mapping: A Hybrid Approach for a Dataset With Outliers".IEEE Access 7(2019):46668-46676.
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