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Titlebook: Advances in Spatial and Temporal Databases; 10th International S Dimitris Papadias,Donghui Zhang,George Kollios Conference proceedings 2007

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Hao Lu,Wenze Liu,Hongtao Fu,Zhiguo Cao regions. Our model focuses on leveraging information about the . topological relationships that hold between the components of two spatial objects, thereby providing a . view of the overall global topological relationship.
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Qihang Zhang,Zhenghao Peng,Bolei Zhouystem is used to anonymize a query by mapping it to a random group of . users that are consecutive in the 1-D space. Compared to existing state-of-the-art, . does not provide theoretical anonymity guarantees for skewed query distributions. Nevertheless, it achieves strong anonymity in practice, and
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,Tracking by Associating Clips,uch approaches treat points as vectors in space and do not exploit their spatial properties. In contrast, we use Hilbert curves as efficient one-way transformations and design algorithms to evaluate a KNN query in the Hilbert transformed space. Consequently, we reduce the complexity of computing a K
发表于 2025-3-31 00:46:31 | 显示全部楼层
Hanbin Hong,Binghui Wang,Yuan Hongnguishes between location privacy and query privacy. By this distinction, we achieve two main goals: (1) supporting private location-based services to those customers with public locations, and (2) performing spatial cloaking on-demand basis only (i.e., when issuing queries) rather than exhaustively
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Qi Fan,Chi-Keung Tang,Yu-Wing Tai-time algorithm that solves the problem (unless P=NP). Hence, in this work we consider heuristics for the problem. Three methods for computing a short .-route are presented. The three methods are compared analytically and experimentally. For these three methods, experiments on both synthetic and rea
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Generalizing the Optimality of Multi-step ,-Nearest Neighbor Query Processing,reducing the number of candidates. In this paper, we generalize the traditional concept of .-optimality and introduce the notion of ..-optimality depending on the distance information . available in the filter step. We propose a new multi-step .NN search algorithm that utilizes lower- and upper boun
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