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Conflict-aware historical data fusion

Zadorozhny, V and Hsu, YF (2011) Conflict-aware historical data fusion. In: UNSPECIFIED.

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Abstract

Historical data reports on numerous events for overlapping time intervals, locations, and names. As a result, it may include severe data conflicts caused by database redundancy that prevent researchers from obtaining the correct answers to queries on an integrated historical database. In this paper, we propose a novel conflict-aware data fusion strategy for historical data sources. We evaluated our approach on a large-scale data warehouse that integrates historical data from approximately 50,000 reports on US epidemiological data for more than 100 years. We demonstrate that our approach significantly reduces data aggregation error in the integrated historical database. © 2011 Springer-Verlag.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zadorozhny, V
Hsu, YFyih13@pitt.eduYIH13
Date: 19 October 2011
Date Type: Publication
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 6929 L
Page Range: 331 - 345
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-642-23963-2_26
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9783642239625
ISSN: 0302-9743
Related URLs:
Date Deposited: 05 Jul 2012 13:58
Last Modified: 16 Feb 2021 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/12624

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