%0 Journal Article %1 journals/candie/WenZSWX19 %A Wen, Feng %A Zhang, Guo %A Sun, Lingfeng %A Wang, Xingqiao %A Xu, Xiaowei %D 2019 %J Computers & Industrial Engineering %K dblp %P 779-787 %T A hybrid temporal association rules mining method for traffic congestion prediction. %U http://dblp.uni-trier.de/db/journals/candie/candie130.html#WenZSWX19 %V 130

@article{journals/candie/WenZSWX19, added-at = {2019-05-31T00:00:00.000+0200}, author = {Wen, Feng and Zhang, Guo and Sun, Lingfeng and Wang, Xingqiao and Xu, Xiaowei}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2af54288570c9d37475ac14f652ab804f/dblp}, ee = {https://doi.org/10.1016/j.cie.2019.03.020}, interhash = {520f39cbc5e4865edc7543a830afccd7}, intrahash = {af54288570c9d37475ac14f652ab804f}, journal = {Computers & Industrial Engineering}, keywords = {dblp}, pages = {779-787}, timestamp = {2019-09-27T11:29:38.000+0200}, title = {A hybrid temporal association rules mining method for traffic congestion prediction.}, url = {http://dblp.uni-trier.de/db/journals/candie/candie130.html#WenZSWX19}, volume = 130, year = 2019 }