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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1783.1/175
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| Title: | Selectivity estimation for predictive spatio-temporal queries |
| Authors: | Tao, Yufei
Sun, Jimeng
Papadias, Dimitris |
| Keywords: | Selectivity estimation
Window queries
Spatio-temporal histograms
Velocity |
| Issue Date: | 2003 |
| Citation: | Proceedings / International Conference on Data Engineering, Bangalore, India, 5-8 Mar. 2003, IEEE Computer Society, Los Alamitos, CA, USA, 2003, p. 417-428 |
| Abstract: | This paper proposes a cost model for selectivity estimation of predictive spatio-temporal window queries. Initially, we focus on uniform data proposing formulae that capture both points and rectangles, and any type of object/query mobility combination (i.e., dynamic objects, dynamic queries or both). Then, we apply the model to non-uniform datasets by introducing spatio-temporal histograms, which in addition to the spatial, also consider the velocity distributions during partitioning. The advantages of our techniques are (i) high accuracy (1-2 orders of magnitude lower error than previous techniques), (ii) ability to handle all query types, and (iii) efficient handling of updates |
| Rights: | © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| URI: | http://hdl.handle.net/1783.1/175 |
| Appears in Collections: | CSE Conference Papers
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| ICDE03STsel.pdf | | 232Kb | Adobe PDF | View/Open |
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