[1] Danalet A, Farooq B, Bierlaire M. A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures[J]. Transportation Research Part C: Emerging Technologies, 2014, 44: 146-170. [2] Liao L, Fox D, Kautz H. Extracting places and activities from GPS traces using hierarchical conditional random fields[J]. International Journal of Robotics Research, 2007, 26(1): 119-134. [3] Cao X, Cong G, Jensen C S. Mining significant semantic locations from GPS data[J]. Proceedings of the VLDB Endowment, 2010, 3(1): 1009-1020. [4] Qi L, Zheng Z. Trajectory prediction of vessels based on data mining and machine learning[J]. Journal of Digital Information Management, 2016, 14(1): 33-40. [5] 乔少杰, 李天瑞, 韩楠, 等. 大数据环境下移动对象自适应轨迹预测模型[J]. 软件学报, 2015, 26(11): 2869-2883. QIAO Shao-jie, LI Tian-rui, HAN Nan,et al. Self-adaptive trajectory prediction model for moving objects in big data environment[J]. Journal of Software, 2015, 26(11): 2869-2883.(in Chinese) [6] Li Y, Guo A, Liu S, et al. A location based reminder system for advertisement[C]∥Proceedings of the 18th ACM International Conference on Multimedia. NY, US: ACM, 2010: 1501-1502. [7] Chung J, Schmandt C. Going my way: a user-aware route planner[C]∥Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.NY, US: ACM, 2009: 1899-1902. [8] Zheng Y, Zhang L Z, Ma Z X, et al. Recommending friends and locations based on individual location history[J]. ACM Transactions on the Web (TWEB), 2011, 5(1): 5. [9] 杨洁. 基于历史轨迹的位置预测方法研究[D]. 杭州:杭州电子科技大学, 2015. YANG Jie. The research on technologies of predicting next location based on historical trajectory[D]. Hangzhou:Hangzhou Dianzi University, 2015.(in Chinese)
[10] Xie K, Deng K, Zhou X. From trajectories to activities: a spatio-temporal join approach[C]∥Proceedings of the 2009 International Workshop on Location Based Social Networks.NY, US: ACM, 2009: 25-32. [11] Agamennoni G, Nieto J, Nebot E. Mining GPS data for extracting significant places[C]∥IEEE International Conference on Robotics and Automation. NJ, US: IEEE, 2009: 855-862. [12] Zheng Y, Zhang L Z, Xie X, et al. Mining interesting locations and travel sequences from GPS trajectories[C]∥Proceedings of the 18th International Conference on World Wide Web. NY, US: ACM, 2009: 791-800. [13] Luo T, Zheng X W, Xu G L, et al. An improved DBSCAN algorithm to detect stops in individual trajectories[J]. ISPRS International Journal of Geo-Information, 2017, 6(3): 63. [14] Ashbrook D, Starner T. Using GPS to learn significant locations and predict movement across multiple users[J]. Personal and Ubiquitous Computing, 2003, 7(5): 275-286. [15] Palma A T, Bogorny V, Kuijpers B, et al. A clustering-based approach for discovering interesting places in trajectories[C]∥Proceedings of the 2008 ACM Symposium on Applied Computing. NY, US: ACM, 2008: 863-868. [16] Zimmermann M, Kirste T, Spiliopoulou M. Finding stops in error-prone trajectories of moving objects with time-based clustering[M]. Berlin, Germany: Springer, 2009: 275-286.
第38卷第10期2017 年10月兵工学报ACTA ARMAMENTARIIVol.38No.10Oct. 2017
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