使用视图域约束查找可见的kNN对象

Yu-Chi Chung, I-Fang Su, Chiang Lee, Ding-Li Chen
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引用次数: 0

摘要

随着无线网络和移动设备的高度发展,基于位置的服务(LBS)越来越受欢迎。特别是k近邻(kNN)查询,提供搜索附近热点或高评价餐厅等服务。本文研究了一种特殊类型的kNN查询——可见kNN查询。查询在给定视图字段中检索对用户可见的数据对象。这种查询在许多现实世界的应用程序中都很有用,比如环境监视或模拟游戏。我们设计了一种高效的算法,可以在不扫描数据空间中所有数据对象的情况下检索视图字段中的可见数据对象。我们还进行了实验来评估所提出算法的效率。实验结果表明,该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding Visible kNN Objects with the View Field Constraint
With the high development of wireless network and mobile devices, Location-Based Services(LBS) is even more popular. Especially the k Nearest Neighbor (kNN) queries providing the services such as searching for nearby hot spots or high rated restaurants etc. In this paper, we study a special type of kNN query named visible kNN query. The query retrieves data objects that are visible to a user in a given view field. The kind of query is useful in many real-world applications such as environmental surveillance or simulation games. We design an efficient algorithm that can retrieve visible data objects in a view field without scanning all the data objects in the data space. We also conduct experiments to evaluate the efficiency of the proposed algorithm. The experiment results show that the proposed method is efficient.
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