Using spatiotemporal relational random forests to improve our understanding of severe weather processes

Statistical Analysis and Data Mining

Rodger A. Brown²  Jeffrey Basara³  John K. Williams⁴  Amy McGovern⁵  Nathaniel Troutman⁵  David John Gagne⁶ 

[1] 3000, USA;National Severe Storms Laboratory, NOAA, Norman, OK 73072, USA;Oklahoma Climatological Survey, Norman, OK 73072, USA;Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307‐School of Computer Science, University of Oklahoma, Norman, OK 73019, USA;School of Meteorology, University of Oklahoma, Norman, OK 73072, USA

关键词: spatiotemporal data mining;    statistical relational learning;    severe weather;    random forests;   

DOI  :  10.1002/sam.10128

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown