Simple and Incremental Nearest-Neighbor Search for Spatiotemporal Databases

Katerina Raptopoulou, A. Papadopoulos, Y. Manolopoulos
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引用次数: 3

Abstract

The efficient processing of nearest-neighbor queries in databases of moving objects is considered very important for applications such as fleet management, traffic control, digital battlefields and more. Such applications have been rapidly spread due to the fact that mobile computing and wireless technologies nowadays are ubiquitous. This chapter presents important aspects towards simple and incremental nearest-neighbor search for spatiotemporal databases. More specifically, we describe the algorithms that This chapter appears in the book Spatial Databases: Technol gi s, Techniques and Trends by Yannis Manalopoulos, Apost los Papado oulos and Michael Gr. Vassilakopoulos. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com IDEA GROUP PUBLISHING Simple and Incremental Nearest-Neighbor Search in Spatio-Temporal Databases 205 Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. have already been proposed for simple and incremental nearest neighbor queries and present a new algorithm regarding that issue. Finally, we study the problem of keeping a query consistent in the presence of insertions, deletions and updates of moving objects.
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时空数据库的简单增量最近邻搜索
移动对象数据库中最近邻查询的高效处理对于车队管理、交通控制、数字战场等应用非常重要。由于移动计算和无线技术现在无处不在,这些应用程序已经迅速传播。本章介绍了对时空数据库进行简单和增量的最近邻搜索的重要方面。更具体地说,我们描述了本章出现在Yannis Manalopoulos, Apost los Papado oulos和Michael Gr. Vassilakopoulos的《空间数据库:技术、技术和趋势》一书中的算法。Idea Group Inc.版权所有©2005未经Idea Group Inc.书面许可,禁止以印刷或电子形式复制或分发。美国宾夕法尼亚州好时市巧克力大道701号200室,电话:717/533-8845;传真717/533 - 8661;URL-http://www.idea-group.com IDEA GROUP在时空数据库中的简单增量最近邻搜索205版权所有©2005,IDEA GROUP Inc。未经Idea Group Inc.书面许可,禁止以印刷或电子形式复制或分发。已经提出了简单增量最近邻查询的算法,并针对该问题提出了一种新的算法。最后,我们研究了在存在移动对象的插入、删除和更新的情况下保持查询一致性的问题。
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