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2008 IEEE International Conference on Bioinformatics and Biomedicine
Data Integration on Multiple Data Sets
November 03-November 05
ISBN: 978-0-7695-3452-7
A critical issue in dealing with voluminous records is that of data integration. Integration of data from two data bases has been studied well. For example, FEBRL is an excellent system for integrating two databases. Not much work has been conducted to integrate more than two databases. In practice, for example, health care networks have to often integrate many more databases than two. In this paper we offer hierarchical clustering based solutions to integrate multiple data sets. We also present experimental data that indicate that our algorithms perform well.
Index Terms:
data integration, data deduplication, multiple data sets
Citation:
Tian Mi, Robert Aseltine, Sanguthevar Rajasekaran, "Data Integration on Multiple Data Sets," bibm, pp.443-446, 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008
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