文献检索/Journal of Hazardous MaterialsEM-T2Journal of Hazardous Materials2022-06-09第 437 卷，129324-129324高影响力 · 前 10%A hybrid data-driven framework for diagnosing contributing factors for soil heavy metal contaminations using machine learning and spatial clustering analysisGuoxin HuangChinese Academy for Environmental PlanningXiahui WangChinese Academy for Environmental PlanningDi ChenChina University of Geosciences (Beijing)Yipeng WangChinese Academy for Environmental PlanningShouxin ZhuWuhan Surveying-Geotechnical Research InstituteTao ZhangChina University of Geosciences (Beijing)Lei LiaoChina National Nuclear CorporationZi TianChinese Academy for Environmental PlanningNan WeiChinese Academy for Environmental Planning去出版社页面 引用论文图谱收藏 被引提醒分享打印登录后看摘要和中文要点英文摘要、AI 生成的中文摘要和三条要点、参考文献和引证文献列表、论文图谱，注册免费。登录 / 注册关键词金融风险与机器学习heavy metal-contaminated soilsource apportionmentcontributing factorsindustrial enterprisesarseniccadmiummercuryNaive Bayes classificationrandom forestspatial clusteringpoint of interest dataindustrialized regionsGuangdong参考文献59引证文献21相似文献引文网络关联作者相关机构登录后可以看完整列表。去登录论文图谱本篇和它的参考文献、引证文献、相似文献登录后可以看这篇的论文图谱：谁被它引用、谁引用了它、还有哪些相似的研究。登录 / 注册
