A Multi-Task Sequential State Model for the Human Trajectory Data Understanding
Tài liệu tham khảo
Zheng, 2015, Trajectory data mining: an overview, ACM Trans. Intell. Syst. Technol., 6, 1, 10.1145/2743025
Lee, 2015, Geospatial big data: challenges and opportunities, Big Data Res., 2, 74, 10.1016/j.bdr.2015.01.003
Parent, 2013, Semantic trajectories modeling and analysis, ACM Comput. Surv., 45, 1, 10.1145/2501654.2501656
Lee, 2007, Trajectory clustering: a partition-and-group framework, 593
Wang, 2019, Fast large-scale trajectory clustering, Proc. VLDB Endow., 13, 29, 10.14778/3357377.3357380
Eagle, 2009, Eigenbehaviors: identifying structure in routine, Behav. Ecol. Sociobiol., 63, 1057, 10.1007/s00265-009-0739-0
Gonzalez, 2008, Understanding individual human mobility patterns, Nature, 453, 779, 10.1038/nature06958
Li, 2019, Next and next new poi recommendation via latent behavior pattern inference, ACM Trans. Inf. Syst., 37, 1, 10.1145/3354187
Cao, 2019, Habit2vec: trajectory semantic embedding for living pattern recognition in population, IEEE Trans. Mob. Comput., 19, 1096, 10.1109/TMC.2019.2902403
Han, 2020, Contextualized point-of-interest recommendation, 2484
Takeuchi, 2006, Cityvoyager: an outdoor recommendation system based on user location history, 625
Ye, 2009, Mining individual life pattern based on location history, 1
Jeung, 2008, A hybrid prediction model for moving objects, 70
Shang, 2014, Inferring gas consumption and pollution emission of vehicles throughout a city, 1027
Zheng, 2011, Learning travel recommendations from user-generated gps traces, ACM Trans. Intell. Syst. Technol., 2, 1, 10.1145/1889681.1889683
Gao, 2017, Identifying human mobility via trajectory embeddings, 1689
Patterson, 2003, Inferring high-level behavior from low-level sensors, 73
Liao, 2007, Learning and inferring transportation routines, Artif. Intell., 171, 311, 10.1016/j.artint.2007.01.006
Ying, 2010, Mining user similarity from semantic trajectories, 19
Liu, 2015, Points of interest recommendation from gps trajectories, Int. J. Geogr. Inf. Sci., 29, 953, 10.1080/13658816.2015.1005094
Yan, 2013, Semantic trajectories: mobility data computation and annotation, ACM Trans. Intell. Syst. Technol., 4, 1, 10.1145/2483669.2483682
Etemad, 2020, Sws: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels, GeoInformatica, 1
Lv, 2016, The discovery of personally semantic places based on trajectory data mining, Neurocomputing, 173, 1142, 10.1016/j.neucom.2015.08.071
Qiu, 2020, Residence and workplace recovery: user privacy risk in mobility data, 15
Cao, 2010, Mining significant semantic locations from gps data, Proc. VLDB Endow., 3, 1009, 10.14778/1920841.1920968
Zhang, 2020, Efficient mining of hotspot regional patterns with multi-semantic trajectories, Big Data Res., 22, 10.1016/j.bdr.2020.100157
Bermingham, 2019, Mining place-matching patterns from spatio-temporal trajectories using complex real-world places, Expert Syst. Appl., 122, 334, 10.1016/j.eswa.2019.01.027
Li, 2019, Multi-task recurrent neural networks and higher-order Markov random fields for stock price movement prediction: multi-task rnn and higher-order mrfs for stock price classification, 1141
