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[46] X. Li, J. Han, J. Lee, and H. Gonzalez. Trac density-based
discovery of hot routes in road networks. Advances in Spatial and
Temporal Databases , pages 441-459, 2007.
[47] Y. Li, J. Han, and J. Yang. Clustering Moving Objects. In KDD ,
2004.
[48] Z. Li, B. Ding, J. Han, and R. Kays. Swarm: Mining relaxed
temporal moving object clusters. VLDB Endowment , 3(1-2):723-
734, 2010.
[49] Z.Li,J.Han,M.Ji,L.Tang,Y.Yu,B.Ding,J.Lee,andR.Kays.
Movemine: Mining moving object data for discovery of animal
movement patterns. ACM Transactions on Intelligent Systems
and Technology (TIST) , 2(4):37, 2011.
[50] L. Liao, D. J. Patterson, D. Fox, and H. Kautz. Learning and infer-
ring transportation routines. Artificial Intelligence , 171(5-6):311-
331, Apr. 2007.
[51] H. Loose, U. Franke, and C. Stiller. Kalman particle filter for lane
recognition on rural roads. In Intelligent Vehicles Symposium, 2009
IEEE , pages 60-65. IEEE, 2009.
[52] Y. Lou, C. Zhang, Y. Zheng, X. Xie, W. Wang, and Y. Huang.
Map-matching for low-sampling-rate GPS trajectories. In GIS ,
number c. ACM Press, 2009.
[53] R. P. S. Mahler. Multitarget bayes filtering via first-order multi-
target moments. IEEE Transactions on Aerospace and Electronic
Systems , 39(4):1152-1178, Oct. 2003.
[54] N. Malviya, S. Madden, and A. Bhattacharya. A Continuous
Query System for Dynamic Route Planning. In ICDE , 2011.
[55] Y. Manolopoulos, A. Nanopoulos, and Y. Theodoridis. R-trees:
Theory and Applications . Springer-Verlag New York Inc, 2006.
[56] O. Mazhelis. Using Recursive Bayesian Estimation for Matching
GPS Measurements to Imperfect Road Network Data. In Intelli-
gent Transportation Systems , pages 1492-1497, 2010.
[57] M. F. Mokbel, T. M. Ghanem, and W. G. Aref. Spatio-temporal
Access Methods. IEEE Data Engineering Bulletin , 2010.
[58] A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti. Wherenext:
a location predictor on trajectory pattern mining. In SIGKDD ,
pages 637-646. ACM, 2009.
[59] K. P. Murphy. Dynamic Bayesian Networks: Representation, In-
ference, and Learning . Phd, University of California, Berkeley,
1994.
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