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Titlebook: Database Systems for Advanced Applications; 19th International C Sourav S. Bhowmick,Curtis E. Dyreson,Bernhard Thal Conference proceedings

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31#
發(fā)表于 2025-3-26 23:49:48 | 只看該作者
Identify and Trace Criminal Suspects in the Crowd Aided by Fast Trajectories Retrievalristics based query optimization algorithm to prune unnecessary data access. Extensive experiments based on real mobile phone trajectory data show that a suspect’s phone can be uniquely identified with high probability while he is captured by more than four cameras distributed in different cells of
32#
發(fā)表于 2025-3-27 02:50:27 | 只看該作者
A Skylining Approach to Optimize Influence and Cost in Location Selectionl spatial join algorithm. We derive influence and cost bounds to prune irrelevant R-tree entries and to early confirm part of the final answers. Theoretical analysis and extensive experiments demonstrate the efficiency and scalability of our proposed algorithms.
33#
發(fā)表于 2025-3-27 09:19:45 | 只看該作者
Geo-Social Skyline Queries . and closely connected to . in SN. We measure the social connectivity between users using the widely adoted, but very expensive Random Walk with Restart method (RWR) to obtain the social distance between users in the social network. We propose an efficient solution by showing how the RWR-distance
34#
發(fā)表于 2025-3-27 10:19:03 | 只看該作者
35#
發(fā)表于 2025-3-27 17:12:23 | 只看該作者
36#
發(fā)表于 2025-3-27 19:47:37 | 只看該作者
37#
發(fā)表于 2025-3-27 23:02:41 | 只看該作者
Rubiya Nadaf,Jane Kinsella,Robert Wynnis employed to get a near-optimal solution. Through the extensive experiments on 36 real datasets, our empirical studies demonstrate that our proposed approaches are capable of achieving superior performance and better efficiency.
38#
發(fā)表于 2025-3-28 04:04:42 | 只看該作者
39#
發(fā)表于 2025-3-28 07:25:16 | 只看該作者
Contemporary British Drama 1950–1976l spatial join algorithm. We derive influence and cost bounds to prune irrelevant R-tree entries and to early confirm part of the final answers. Theoretical analysis and extensive experiments demonstrate the efficiency and scalability of our proposed algorithms.
40#
發(fā)表于 2025-3-28 14:02:39 | 只看該作者
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