Abstract
Location information acquired by sensors and other devices is not necessarily accurate and has vagueness. In the research field of spatial databases, query processing techniques based on uncertain location information are highly interested in recent years. In this paper, we overview the trend of this field and describe our related projects and future prospects.
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References
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005)
Iijima, Y., Ishikawa, Y.: Finding probabilistic nearest neighbors for query objects with imprecise locations. In: Proc. MDM, pp. 52–61 (2009)
Ishikawa, Y., Iijima, Y., Yu, J.X.: Processing spatial range queries for objects with imprecise Gaussian-based location information. In: Proc. ICDE, pp. 676–687 (2009)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, Chichester (2000)
Pfoser, D., Jensen, C.S.: Capturing the uncertainty of moving-object representations. In: Güting, R.H., Papadias, D., Lochovsky, F.H. (eds.) SSD 1999. LNCS, vol. 1651, pp. 111–131. Springer, Heidelberg (1999)
Beskales, G., Soliman, M.A., Ilyas, I.F.: Efficient search for the top-k probable nearest neighbors in uncertain databases. In: Proc. VLDB, pp. 326–339 (2008)
Chen, J., Cheng, R.: Efficient evaluation of imprecise location-dependent queries. In: Proc. ICDE, pp. 586–595 (2007)
Tao, Y., Xiao, X., Cheng, R.: Range search on multidimensional uncertain data. ACM TODS 32(3) (2007)
Rigaux, P., Scholl, M., Voisard, A.: Spatial Databases with Application to GIS. Morgan Kaufmann, San Francisco (2001)
Cheng, R., Kalashnikov, D.V., Prabhakar, S.: Querying imprecise data in moving object environments. IEEE TKDE 16(9), 1112–1127 (2004)
Cheng, R., Chen, J., Mokbel, M., Chow, C.Y.: Probabilistic verifiers: Evaluating constrained nearest-neighbor queries over uncertain data. In: Proc. ICDE, pp. 973–982 (2008)
Kriegel, H.P., Kunath, P., Renz, M.: Probabilistic nearest-neighbor query on uncertain objects. In: Kotagiri, R., Radha Krishna, P., Mohania, M., Nantajeewarawat, E. (eds.) DASFAA 2007. LNCS, vol. 4443, pp. 337–348. Springer, Heidelberg (2007)
Ngai, W.K., Kao, B., Chui, C.K., Cheng, R., Chau, M., Yip, K.Y.: Efficient clustering of uncertain data. In: Proc. ICDM (2006)
Cheng, R., Xie, X., Yiu, M.L., Chen, J., Sun, L.: UV-diagram: A Voronoi diagram for uncertain data. In: Proc. ICDE (2010)
Aurenhammer, F.: Voronoi diagrams: A survey of a fundamental geometric data structure. ACM Computing Surveys 23(3), 345–405 (1991)
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Ishikawa, Y. (2010). Spatial Query Processing Based on Uncertain Location Information. In: Kikuchi, S., Sachdeva, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2010. Lecture Notes in Computer Science, vol 5999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12038-1_21
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DOI: https://doi.org/10.1007/978-3-642-12038-1_21
Publisher Name: Springer, Berlin, Heidelberg
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