Investigating macro-level hotzone identification and variable importance using big data: A random forest models approach

标题
Investigating macro-level hotzone identification and variable importance using big data: A random forest models approach
作者
关键词
Hotzone identification, Big data, Connected Vehicle, Variable importance, Random forest, Wilcoxon test
出版物
NEUROCOMPUTING
Volume 181, Issue -, Pages 53-63
出版商
Elsevier BV
发表日期
2015-11-28
DOI
10.1016/j.neucom.2015.08.097

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