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Urban computing: enabling urban intelligence with big data |
Yu ZHENG1,2,3( ) |
1. Microsoft Research, Beijing 100080, China 2. School of Computer Science and Technology, Xidian University, Xi’an 710071, China 3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China |
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Corresponding Author(s):
Yu ZHENG
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Just Accepted Date: 06 December 2016
Issue Date: 11 January 2017
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| 1 |
Zheng Y, Capra L, Wolfson O, Yang H. Urban computing: concepts, methodologies, and applications. ACM Transactions on Intelligent Systems and Technology, 2014, 5(3): 222–235
https://doi.org/10.1145/2629592
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| 2 |
Ji S G, Zheng Y, Li T R. Urban sensing based on human mobility. In: Proceedings of the 18th ACM International Conference on Ubiquitous Computing (UbiComp 2016). 2016, 1040–1051
https://doi.org/10.1145/2971648.2971735
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| 3 |
Zheng Y. Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology, 2015, 6(3)
https://doi.org/10.1145/2743025
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| 4 |
Bao J, Li R Y, Yi X W, Zheng Y. Managing massive trajectories on the cloud. In: Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL 2016). 2016
https://doi.org/10.1145/2996913.2996916
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Zheng Y. Methodologies for cross-domain data fusion: an overview. IEEE Transactions on Big Data, 2015, 1(1)
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Zhang J B, Zheng Y, Qi D K. Deep spatio-temporal residual networks for citywide crowd flows prediction. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence. 2016
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| 7 |
Liu D Y, Weng D, Li Y H, Bao J, Zheng Y, Qu H M, Wu Y C. SmartAdP: visual analytics of large-scale taxi trajectories for selecting billboard locations. IEEE Transactions on Visualization & Computer Graphics, 2017, 23(1): 1–10
https://doi.org/10.1109/TVCG.2016.2598432
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Zheng Y, Liu F, Hsieh H P. U-Air: when urban air quality inference meets big data. In: Proceedings of the 19th SIGKDD Conference on Knowledge Discovery and Data Mining. 2013, 1436–1444
https://doi.org/10.1145/2487575.2488188
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Zheng Y, Yi X W, Li M, Li R Y, Shan Z Q, Chang E, Li T R. Forecasting fine-grained air quality based on big data. In: Proceeding of the 21st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015). 2015, 2267–2276
https://doi.org/10.1145/2783258.2788573
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