Abstract
With the increasing number of Mobile Location Services (MLS), the need for effective k-NN query processing over historical trajectory data has become the vehicle for data analysis, thus improving existing or even proposing new services. In this paper, we investigate mechanisms to perform NN search on R-tree-like structures storing historical information about moving object trajectories. The proposed branch-and-bound algorithms vary with respect to the type of the query object (stationary or moving point) as well as the type of the query result (continuous or not). We also propose novel metrics to support our search ordering and pruning strategies. Using the implementation of the proposed algorithms on a member of the R-tree family for trajectory data (the TB-tree), we demonstrate their scalability and efficiency through an extensive experimental study using synthetic and real datasets.
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References
Benetis, R., Jensen, C., Karciauskas, G., Saltenis, S.: Nearest Neighbor and Reverse Nearest Neighbor Queries for Moving Objects. In: Proceedings of IDEAS (2002)
Cheung, K.L., Fu, A.W.: Enhanced Nearest Neighbour Search on the R-tree. SIGMOD Record 27(3), 16–21 (1998)
Frentzos, E., Gratsias, K., Pelekis, N., Theodoridis, Y.: Nearest Neighbor Search on Moving Object Trajectories. UNIPI-ISL-TR-2005-02, Technical Report Series, University of Piraeus (2005), Available at, http://isl.cs.unipi.gr/db
Hjaltason, G., Samet, H.: Distance Browsing in Spatial Databases. ACM Transactions in Database Systems 24(2), 265–318 (1999)
Iwerks, G.S., Samet, H., Smith, K.: Continuous K-Nearest Neighbor Queries for Continuously Moving Points with Updates. In: Proceedings of VLDB (2003)
Manolopoulos, Y., Nanopoulos, A., Papadopoulos, A.N., Theodoridis, Y.: R-trees: Theory and Applications. Springer, Heidelberg (2005)
Pfoser, D., Jensen, C.S., Theodoridis, Y.: Novel Approaches to the Indexing of Moving Object Trajectories. In: Proceedings of VLDB (2000)
Roussopoulos, N., Kelley, S., Vincent, F.: Nearest Neighbor Queries. In: Proceedings of ACM SIGMOD (1995)
Saltenis, S., Jensen, C.S., Leutenegger, S., Lopez, M.: Indexing the Positions of Continuously Moving Objects. In: Proceedings of ACM SIGMOD (2000)
Shahabi, C., Kolahdouzan, M., Sharifzadeh, M.: A Road Network Embedding Technique for K-Nearest Neighbor Search in Moving Object Databases. GeoInformatica 7(3), 255–273 (2003)
Song, Z., Roussopoulos, N.: K-Nearest Neighbor Search for Moving Query Point. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds.) SSTD 2001. LNCS, vol. 2121, p. 79. Springer, Heidelberg (2001)
Tao, Y., Papadias, D.: Time Parameterized Queries in Spatio-Temporal Databases. In: Proceedings of ACM SIGMOD (2001)
Tao, Y., Papadias, D., Shen, Q.: Continuous Nearest Neighbor Search. In: Proceedings of VLDB (2002)
Theodoridis, Y., Silva, J.R.O., Nascimento, M.A.: On the Generation of Spatio-temporal Datasets. In: Güting, R.H., Papadias, D., Lochovsky, F.H. (eds.) SSD 1999. LNCS, vol. 1651, p. 147. Springer, Heidelberg (1999)
Tao, Y., Sun, J., Papadias, D.: Analysis of predictive spatio-temporal queries. ACM Transactions on Database Systems 28(4), 295–336 (2003)
Theodoridis, Y., Vazirgiannis, M., Sellis, T.: Spatio-temporal Indexing for Large Multimedia Applications. In: Proceedings of ICMCS (1996)
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Frentzos, E., Gratsias, K., Pelekis, N., Theodoridis, Y. (2005). Nearest Neighbor Search on Moving Object Trajectories. In: Bauzer Medeiros, C., Egenhofer, M.J., Bertino, E. (eds) Advances in Spatial and Temporal Databases. SSTD 2005. Lecture Notes in Computer Science, vol 3633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11535331_19
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DOI: https://doi.org/10.1007/11535331_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28127-6
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