Modeling Uncertainty in Moving Objects Databases

Author:

ALKOBAISI Shayma1,BAE Wan D.2,NARAYANAPPA Sada3

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

Reference29 articles.

1. [1] S. Alkobaisi, W.D. Bae, S.H. Kim, and B. Yu, “MBR models for uncertainty regions of moving objects,” Proc. Int. Conf. on Database Systems for Advanced Applications, 2008.

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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