Modeling Uncertainty in Moving Objects Databases
Author:
Affiliation:
1. Faculty of Information Technology, United Arab Emirates University
2. Department of Mathematics, Statistics and Computer Science, University of Wisconsin-Stout
3. Jeppesen, Inc.
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
http://www.jstage.jst.go.jp/article/transinf/E94.D/12/E94.D_12_2440/_pdf
Reference29 articles.
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2. [2] S. Alkobaisi, P. Vojtechovský, W.D. Bae, S.H. Kim, and S.T. Leutenegger, “The truncated tornado in TMBB: A spatiotemporal uncertainty model for moving objects,” Proc. Database Expert and Systems Applications, pp.33-40, 2008.
3. [3] G. Barequet and S. Har-Peled, “Efficiently approximating the minimum-volume bounding box of a point set in three dimensions,” J. Algorithms, vol.38, no.1, pp.91-109, 2001.
4. [4] N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger, “The R*-tree: An efficient and robust access method for points and rectangles,” Proc. ACM SIGMOD, pp.322-331, 1990.
5. [5] T. Brinkoff, H.-P. Kriegel, and R. Schneider, “Comparison of approximations of complex objects used for approximation-based query processing in spatial database systems,” Proc. Int. Conf. on Data Engineering, pp.40-49, 1993.
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