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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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https://doi.org/10.1007/978-3-031-20086-1the current medoid set. Next, we address . monitoring, where we assume that the data points have some computational capabilities, and they take over part of the monitoring task. In particular, the server installs adaptive filters (i.e., permissible spatial ranges, called .) to the points, which repo
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Kim Youwang,Kim Ji-Yeon,Tae-Hyun Ohted distance function defines an adjusted order of appearance for data objects in the visualization space and, thus, supports quick first views. By a novel incremental concept of view-dependent result streaming which interactively follows dynamic changes of users’ viewpoints and view directions, we
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Qingpei Guo,Kaisheng Yao,Wei Chureducing 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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Shai Avidan,Gabriel Brostow,Tal Hassnerbject per iteration, choosing the extension which leads to the largest increase of the objective function. Our experimental evaluation on synthetic datasets and a real dataset demonstrates the meaningfulness of this new type of outliers and the greatly superior efficiency of the proposed algorithms.
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Runyu Ding,Jihan Yang,Li Jiang,Xiaojuan Qithe first one refers to trajectory compression of individual objects; the other offers estimated aggregates of moving object locations across time. Both techniques are validated with comprehensive experiments, confirming their suitability in maintaining online concise synopses for moving objects.
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