Special Issue on Spatio-Temporal Data Driven Urban Computing

In this topical collection (11 articles)

1. EditorialNotes

   Introduction to spatio-temporal data driven urban computing

   Shuo Shang, Kai Zheng, Panos Kalnis Pages 561-562

   Download PDF (387KB) View Article

2. 

   OriginalPaper

   Hybrid route recommendation with taxi and shared bicycles

   Hao Zhou, Yan Zhao, Junhua Fang, Xuanhao Chen… Pages 563-583

3. 

   OriginalPaper

   On accurate POI recommendation via transfer learning

   Hao Zhang, Siyi Wei, Xiaojiao Hu, Ying Li, Jiajie Xu Pages 585-599

4. 

   OriginalPaper

   Social-aware spatial keyword top-k group query

   Xiangguo Zhao, Zhen Zhang, Hong Huang, Xin Bi Pages 601-623

5. 

   OriginalPaper

   Multi-objective spatial keyword query with semantics: a distance-owner based approach

   Jiajie Xu, Jing Chen, Lihua Yin Pages 625-647

6. 

   OriginalPaper

   An efficient algorithm for spatio-textual location matching

   Ning Wang, Jianping Zeng, Mingming Chen, Shunzhi Zhu Pages 649-666

7. 

   OriginalPaper

   Privacy-preserving spatial keyword location-to-trajectory matching

   Ning Wang, Jianping Zeng, Wenxing Hong, Shunzhi Zhu Pages 667-686

8. 

   OriginalPaper

   LSTM-based deep learning for spatial–temporal software testing

   Lei Xiao, Huaikou Miao, Tingting Shi, Yu Hong Pages 687-712

9. 

   OriginalPaper

   A simplified variant of tabled asymmetric numeral systems with a smaller look-up table

   Na Wang, Chao Wang, Sian-Jheng Lin Pages 711-732

10. 

    OriginalPaper

    ForeXGBoost: passenger car sales prediction based on XGBoost

    Zhenchang Xia, Shan Xue, Libing Wu, Jiaxin Sun… Pages 713-738

11. 

    OriginalPaper

    A parameter-level parallel optimization algorithm for large-scale spatio-temporal data mining

    Zhiqiang Liu, Xuanhua Shi, Ligang He, Dongxiao Yu… Pages 739-765