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A Case Study on Data Quality, Privacy, and Entity Resolution

A Case Study on Data Quality, Privacy, and Entity Resolution

William Decker, Fan Liu, John Talburt, Pei Wang, Ningning Wu
Copyright: © 2014 |Pages: 22
ISBN13: 9781466648920|ISBN10: 1466648929|EISBN13: 9781466648937
DOI: 10.4018/978-1-4666-4892-0.ch004
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MLA

Decker, William, et al. "A Case Study on Data Quality, Privacy, and Entity Resolution." Information Quality and Governance for Business Intelligence, edited by William Yeoh, et al., IGI Global, 2014, pp. 66-87. https://doi.org/10.4018/978-1-4666-4892-0.ch004

APA

Decker, W., Liu, F., Talburt, J., Wang, P., & Wu, N. (2014). A Case Study on Data Quality, Privacy, and Entity Resolution. In W. Yeoh, J. Talburt, & Y. Zhou (Eds.), Information Quality and Governance for Business Intelligence (pp. 66-87). IGI Global. https://doi.org/10.4018/978-1-4666-4892-0.ch004

Chicago

Decker, William, et al. "A Case Study on Data Quality, Privacy, and Entity Resolution." In Information Quality and Governance for Business Intelligence, edited by William Yeoh, John R. Talburt, and Yinle Zhou, 66-87. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4892-0.ch004

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Abstract

This chapter presents ongoing research conducted through collaboration between the University of Arkansas at Little Rock and the Arkansas Department of Education to develop an entity resolution and identity management system. The process includes a multi-phase approach consisting of data-quality analysis, selection of entity-identity attributes for entity resolution, development of a truth-set, and implementation and benchmarking of an entity-resolution rule set using the open source entity-resolution system named OYSTER. The research is the first known of its kind to evaluate privacy-enhancing, entity-resolution rule sets in a state education agency.

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