loading...
A Heuristic for Refresh Policy Selection in Heterogeneous Environments
Bangalore, India March 05-March 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2003.126083119th International Conference on Data ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Henrik Engstr?, Sharma Chakravarthy, Brian Lings, "A Heuristic for Refresh Policy Selection in Heterogeneous Environments," Data Engineering, International Conference on, pp. 674, 19th International Conference on Data Engineering (ICDE'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/ICDE.2003.1260831,
author = {Henrik Engstr? and Sharma Chakravarthy and Brian Lings},
title = {A Heuristic for Refresh Policy Selection in Heterogeneous Environments},
journal ={Data Engineering, International Conference on},
volume = {0},
year = {2003},
issn = {1063-6382},
pages = {674},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2003.1260831},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering, International Conference on
TI - A Heuristic for Refresh Policy Selection in Heterogeneous Environments
SN - 1063-6382
SP
EP
A1 - Henrik Engstr?,
A1 - Sharma Chakravarthy,
A1 - Brian Lings,
PY - 2003
KW - null
VL - 0
JA - Data Engineering, International Conference on
ER -
 
Henrik Engstr?, University of Sk?vde, Sweden
Sharma Chakravarthy, The University of Texas at Arlington
Brian Lings, The University of Exeter, UK
This work addresses data warehouse maintenance, i.e. how changes to autonomous sources should be detected and propagated to a warehouse. We have extended our work on source characteristics and timings relevant to single source views by exploring data integration from (multiple) heterogeneous sources. We identify relevant maintenance policies and develop a set of heuristics to guide policy choice. On the basis of empirical (testbed) experiments, we claim that resulting selections are good.
Citation:
Henrik Engstr?, Sharma Chakravarthy, Brian Lings, "A Heuristic for Refresh Policy Selection in Heterogeneous Environments," icde, pp.674, 19th International Conference on Data Engineering (ICDE'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.