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A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes

A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes

Pei Wang, Daniel Pullen, Fan Liu, William C. Decker, Ningning Wu, John R. Talburt
Copyright: © 2016 |Volume: 6 |Issue: 3 |Pages: 20
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781466691261|DOI: 10.4018/IJOCI.2016070101
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MLA

Wang, Pei, et al. "A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes." IJOCI vol.6, no.3 2016: pp.1-20. http://doi.org/10.4018/IJOCI.2016070101

APA

Wang, P., Pullen, D., Liu, F., Decker, W. C., Wu, N., & Talburt, J. R. (2016). A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes. International Journal of Organizational and Collective Intelligence (IJOCI), 6(3), 1-20. http://doi.org/10.4018/IJOCI.2016070101

Chicago

Wang, Pei, et al. "A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes," International Journal of Organizational and Collective Intelligence (IJOCI) 6, no.3: 1-20. http://doi.org/10.4018/IJOCI.2016070101

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Abstract

This paper 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, defined a rule set using the open source entity-resolution system named OYSTER and used entropy approach to identify the potential false positive and false negative. 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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