Data Integration on Multiple Data Sets

Author

Mi, Tian ; Aseltine, Robert ; Rajasekaran, Sanguthevar

Author_Institution

Dept. of CSE, Univ. of Connecticut, Storrs, CT

fYear

2008

fDate

3-5 Nov. 2008

Firstpage

443

Lastpage

446

Abstract

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.

Keywords

bioinformatics; data handling; database management systems; health care; medical administrative data processing; pattern clustering; FEBRL; Freely Extensible Biomedical Record Linkage; data integration; health care networks; hierarchical clustering; multiple data sets; Bioinformatics; Clustering algorithms; Costs; Databases; Dynamic programming; Employment; Government; Medical services; Public healthcare; USA Councils; data deduplication; data integration; multiple data sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine, 2008. BIBM '08. IEEE International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

978-0-7695-3452-7

Type

conf

DOI

10.1109/BIBM.2008.48

Filename

4684936