Efficient and Accurate Algorithm for Mining RFID Data

There are no files associated with this record.

Title Efficient and Accurate Algorithm for Mining RFID Data
Author Alsaleh, Slah Abdulrhman M; Stantic, Bela
Publication Title Proceedings of the IASTED International Conference on Artificial Intelligence and Applications
Editor M.H. Hamza
Year Published 2009
Place of publication Calgary, Alberta, Canada
Publisher ACTA Press
Abstract Radio Frequency Identification (RFID) technology gains momentum and every day we witness more and more application domains. These systems however generate a huge volume of data and management of such vast volume of data is a challenge. It is even bigger challenge to extract patterns and relations, which represent a knowledge that is implicitly stored in such spatio-temporal data. This knowledge cannot be obtained using a simple queries. While a significant work has been devoted toward general data mining a limited work was directed toward mining of spatio-temporal RFID data. In this work, we present method which efficiently cluster vast volume of RFID data by applying K-means method only to fraction of whole data covering all locations. In empirical study we show that our method is efficient and at the same time has a property of high accuracy.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.iasted.org/conferences/pastconferences.html
ISBN 978-0-88986-780-2
Conference name IASTED International Conference on Artificial Intelligence and Applications (AIA 2009)
Location Innsbruck, Austria
Date From 2009-02-16
Date To 2009-02-18
URI http://hdl.handle.net/10072/31876
Date Accessioned 2010-01-22
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice