1. [1] A. Y. Xue, R. Zhang, Y. Zheng, X. Xie, J. Yu, and Y. Tang, "Desteller: A system for destination prediction based on trajectories with privacy protection," Proceedings of the VLDB Endowment, vol. 6, pp. 1198-1201, 2013. [ DOI:10.14778/2536274.2536275] 2. [2] V. Bogorny, B. Kuijpers, and L. O. Alvares, "ST‐DMQL: a semantic trajectory data mining query language," International Journal of Geographical Information Science, vol. 23, pp. 1245-1276, 2009. [ DOI:10.1080/13658810802231449] 3. [3] N. Eagle, A. S. Pentland, and D. Lazer, "Inferring friendship network structure by using mobile phone data," Proceedings of the national academy of sciences, vol. 106, pp. 15274-15278, 2009. [ DOI:10.1073/pnas.0900282106] 4. [4] R. Monclar, A. Tecla, J. Oliveira, and J. M. de Souza, "MEK: Using spatial-temporal information to improve social networks and knowledge dissemination," Information Sciences, vol. 179, pp. 2524-2537, 2009. [ DOI:10.1016/j.ins.2009.01.032] 5. [5] S. S. Banerjee and R. R. Dholakia, "Mobile advertising: Does location based advertising work?," 2008. 6. [6] C.-C. Chan, Y.-C. Lin, and M.-S. Chen, "Recommendation for advertising messages on mobile devices," in Proceedings of the 23rd International Conference on World Wide Web, 2014, pp. 235-236. [ DOI:10.1145/2567948.2577343] 7. [7] B. Wang, Y. Hu, G. Shou, and Z. Guo, "Trajectory Prediction in Campus Based on Markov Chains," in International Conference on Big Data Computing and Communications, 2016, pp. 145-154. [ DOI:10.1007/978-3-319-42553-5_13] 8. [8] R. Hariharan and K. Toyama, "Project Lachesis: parsing and modeling location histories," in International Conference on Geographic Information Science, 2004, pp. 106-124. [ DOI:10.1007/978-3-540-30231-5_8] 9. [9] M. Chen, Y. Liu, and X. Yu, "Predicting next locations with object clustering and trajectory clustering," in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2015, pp. 344-356. [ DOI:10.1007/978-3-319-18032-8_27] 10. [10] D. Ashbrook and T. Starner, "Using GPS to learn significant locations and predict movement across multiple users," Personal and Ubiquitous computing, vol. 7, pp. 275-286, 2003. [ DOI:10.1007/s00779-003-0240-0] 11. [11] M. Chen, X. Yu, and Y. Liu, "Mining moving patterns for predicting next location," Information Systems, vol. 54, pp. 156-168, 2015. [ DOI:10.1016/j.is.2015.07.001] 12. [12] M. Morzy, "Mining frequent trajectories of moving objects for location prediction," Machine Learning and Data Mining in Pattern Recognition, pp. 667-680, 2007. [ DOI:10.1007/978-3-540-73499-4_50] 13. [13] A. Y. Xue, R. Zhang, Y. Zheng, X. Xie, J. Huang, and Z. Xu, "Destination prediction by sub-trajectory synthesis and privacy protection against such prediction," in Data Engineering (ICDE), 2013 IEEE 29th International Conference on, 2013, pp. 254-265. [ DOI:10.1109/ICDE.2013.6544830] 14. [14] A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti, "Wherenext: a location predictor on trajectory pattern mining," in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009, pp. 637-646. [ DOI:10.1145/1557019.1557091] 15. [15] M. Boukhechba, A. Bouzouane, B. Bouchard, C. Gouin-Vallerand, and S. Giroux, "Online prediction of people's next Point-of-Interest: Concept drift support," in Human Behavior Understanding, ed: Springer, 2015, pp. 97-116. [ DOI:10.1007/978-3-319-24195-1_8] 16. [16] H. Jeung, Q. Liu, H. T. Shen, and X. Zhou, "A hybrid prediction model for moving objects," in Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on, 2008, pp. 70-79. [ DOI:10.1109/ICDE.2008.4497415] 17. [17] M. Morzy, "Prediction of moving object location based on frequent trajectories," in International Symposium on Computer and Information Sciences, 2006, pp. 583-592. [ DOI:10.1007/11902140_62] 18. [18] G. Yavaş, D. Katsaros, Ö. Ulusoy, and Y. Manolopoulos, "A data mining approach for location prediction in mobile environments," Data & Knowledge Engineering, vol. 54, pp. 121-146, 2005. [ DOI:10.1016/j.datak.2004.09.004] 19. [19] Y. Ye, Y. Zheng, Y. Chen, J. Feng, and X. Xie, "Mining individual life pattern based on location history," in Mobile Data Management: Systems, Services and Middleware, 2009. MDM'09. Tenth International Conference on, 2009, pp. 1-10. [ DOI:10.1109/MDM.2009.11] 20. [20] C. I. Ezeife and Y. Su, "Mining incremental association rules with generalized FP-tree," in Conference of the Canadian Society for Computational Studies of Intelligence, 2002, pp. 147-160. [ DOI:10.1007/3-540-47922-8_13] 21. [21] D. Katsaros, A. Nanopoulos, M. Karakaya, G. Yavas, Ö. Ulusoy, and Y. Manolopoulos, "Clustering mobile trajectories for resource allocation in mobile environments," in International Symposium on Intelligent Data Analysis, 2003, pp. 319-329. [ DOI:10.1007/978-3-540-45231-7_30] 22. [22] C. Yu, Y. Liu, D. Yao, L. T. Yang, H. Jin, H. Chen, and Q. Ding, "Modeling user activity patterns for next-place prediction," IEEE Systems Journal, vol. 11, pp. 1060-1071, 2017. [ DOI:10.1109/JSYST.2015.2445919]
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