The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms

Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv. The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017. pages 1653-1662, ACM, 2017. [doi]

@inproceedings{TongCZCWYYL17,
  title = {The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms},
  author = {Yongxin Tong and Yuqiang Chen and Zimu Zhou and Lei Chen and Jie Wang and Qiang Yang and Jieping Ye and Weifeng Lv},
  year = {2017},
  doi = {10.1145/3097983.3098018},
  url = {http://doi.acm.org/10.1145/3097983.3098018},
  researchr = {https://researchr.org/publication/TongCZCWYYL17},
  cites = {0},
  citedby = {0},
  pages = {1653-1662},
  booktitle = {Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017},
  publisher = {ACM},
  isbn = {978-1-4503-4887-4},
}