Indexing Temporal Data with Virtual Structure

File Size Format
67439_1.pdf 99Kb Adobe PDF View
Title Indexing Temporal Data with Virtual Structure
Author Stantic, Bela; Terry, Justin Lee; Topor, Rodney William; Sattar, Abdul
Publication Title Advances in Databases and Information Systems (ADBIS) 2010
Editor Barbara Catania, Mirjana Ivanovi´c, Bernhard Thalheim
Year Published 2010
Place of publication Berlin
Publisher Springer-Verlag
Abstract Temporal and spatio-temporal data are present in many modern application systems, including monitoring moving objects. Such systems produce enormous volume of data, and therefore efficient indexing method is crucial. In this paper, we investigate and present a new concept based on virtual index structure, which can efficiently query such data. Concept is based on spatial representation of interval data and a recursive triangular decomposition of that space. The empirical performance of presented concept is demonstrated to be superior to its best known competitors.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1007/978-3-642-15576-5_53
Copyright Statement Copyright 2010 Springer Berlin/Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com
ISBN 3-642-15575-8
Conference name Advances in Databases and Information Systems (ADBIS) 2010
Location Novi Sad, Serbia
Date From 2010-09-20
Date To 2010-09-24
URI http://hdl.handle.net/10072/37707
Date Accessioned 2011-01-31
Date Available 2011-08-23T06:42:06Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Data Format
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Brief Record

Griffith University copyright notice