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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jensen, C.S. Lin, D. Beng Chin Ooi Rui Zhang |
| Copyright Year | 2006 |
| Description | Author affiliation: Aalborg University, Denmark (Jensen, C.S.) |
| Abstract | This paper assumes a setting where a population of objects move continuously in the Euclidean plane. The position of each object, modeled as a linear function from time to points, is assumed known. In this setting, the paper studies the querying for dense regions. In particular, the paper defines a particular type of density query with desirable properties and then proceeds to propose an algorithm for the efficient computation of density queries. While the algorithm may exploit any existing index for the current and near-future positions of moving objects, the Bx-tree is used. The paper reports on an extensive empirical study, which elicits the performance properties of the algorithm. |
| Starting Page | 71 |
| Ending Page | 71 |
| File Size | 516815 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769525709 |
| DOI | 10.1109/ICDE.2006.179 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Consumer electronics Mobile communication Communications technology Paper technology Proposals Nearest neighbor searches Data engineering |
| Content Type | Text |
| Resource Type | Article |
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