loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Xing Gao 1 ; Ali R. Hurson 1 and Krishna Kavi 2

Affiliations: 1 Pennsylvania State University, United States ; 2 University of North Texas, United States

ISBN: 978-989-8111-07-4

Keyword(s): Location dependent query, validity region, proxy caching, nearest neighbour.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: Users’ queries for data or services in a mobile computing environment are highly relevant to their current locations. A nearest neighbor (NN) query finds the data object closest to the user’s location; and hence, NN query issued at different locations may lead to different results. The nearest neighbor validity region (NNVR) is the area where an NN query result remains valid. A cached NN result can be used to answer semantically equivalent NN queries issued in the same NNVR. Our analysis discovers that NNVRs carry useful information about neighboring objects’ locations. This paper proposes an algorithm data mining the hidden information in cached NNVRs to increase the proxy caching performance. The experimental results and analysis have demonstrated the effectiveness of the proposed algorithm in reducing query response time and workload on the database server.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.93.74.227

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Gao X.; R. Hurson A.; Kavi K. and (2007). ESTIMATE VALIDITY REGIONS FOR NEAREST NEIGHBOR QUERIES.In Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-07-4, pages 129-136. DOI: 10.5220/0001323801290136

@conference{icsoft07,
author={Xing Gao and Ali {R. Hurson} and Krishna Kavi},
title={ESTIMATE VALIDITY REGIONS FOR NEAREST NEIGHBOR QUERIES},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2007},
pages={129-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001323801290136},
isbn={978-989-8111-07-4},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - ESTIMATE VALIDITY REGIONS FOR NEAREST NEIGHBOR QUERIES
SN - 978-989-8111-07-4
AU - Gao, X.
AU - R. Hurson, A.
AU - Kavi, K.
PY - 2007
SP - 129
EP - 136
DO - 10.5220/0001323801290136

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.