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A Heuristic for Refresh Policy Selection in Heterogeneous Environments
University of Skövde, Department of Computer Science.ORCID iD: 0000-0002-9972-4716
The University of Texas at Arlington, USA.
The University of Exeter, U.K..
2003 (English)In: Proceedings of the 19th International Conference on Data Engineering / [ed] U. Dayal, K. Ramamritham, T. M. Vijayaraman, IEEE, 2003, p. 674-676Conference paper, Published paper (Refereed)
Abstract [en]

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) hetero- geneous 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. 

Place, publisher, year, edition, pages
IEEE, 2003. p. 674-676
Series
Proceedings of the International Conference on Data Engineering, ISSN 1063-6382
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:his:diva-14739DOI: 10.1109/ICDE.2003.1260831ISI: 000186827800055Scopus ID: 2-s2.0-0344065533ISBN: 0-7803-7665-X (print)OAI: oai:DiVA.org:his-14739DiVA, id: diva2:1182798
Conference
19th International Conference on Data Engineering (ICDE’03), Bangalore, India, March 5-8, 2003
Available from: 2018-02-14 Created: 2018-02-14 Last updated: 2018-02-16Bibliographically approved

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Engström, Henrik

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