IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Simple and Incremental Nearest-Neighbor Search in Spatio-Temporal Databases

Simple and Incremental Nearest-Neighbor Search in Spatio-Temporal Databases
View Sample PDF
Author(s): Katerina Raptopoulou (Aristotle University of Thessaloniki, Greece), Apostolos N. Papadopoulos (Aristotle University of Thessaloniki, Greece)and Yannis Manolopoulos (Aristotle University of Thessaloniki, Greece)
Copyright: 2005
Pages: 21
Source title: Spatial Databases: Technologies, Techniques and Trends
Source Author(s)/Editor(s): Yannis Manalopoulos (Aristotle University of Thessaloniki, Greece), Apostolos Papadopoulos (Aristotle University of Thessaloniki, Greece)and Michael Gr. Vassilakopoulos (Technological Educational Institute of Thessaloniki, Greece)
DOI: 10.4018/978-1-59140-387-6.ch009

Purchase

View Simple and Incremental Nearest-Neighbor Search in Spatio-Temporal Databases on the publisher's website for pricing and purchasing information.

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 spatio-temporal databases. More specifically, we describe the algorithms that 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.

Related Content

Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst. © 2022. 24 pages.
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N.. © 2022. 20 pages.
Ram Singh, Rohit Bansal, Sachin Chauhan. © 2022. 19 pages.
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka. © 2022. 17 pages.
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva. © 2022. 23 pages.
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma. © 2022. 18 pages.
Nwosu Anthony Ugochukwu, S. B. Goyal. © 2022. 23 pages.
Body Bottom