Fast Bayesian Record Linkage for Streaming Data Contexts-Reference-Cited by-同舟云学术

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Fast Bayesian Record Linkage for Streaming Data Contexts

Published:2023-11-15 Issue: Volume: Page:1-12
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Taylor Ian¹,Kaplan Andee¹^ORCID,Betancourt Brenda²

Affiliation:

1. Department of Statistics, Colorado State University, Fort Collins, CO

2. NORC at the University of Chicago, Chicago, IL

Funder

Laboratory for Analytic Sciences at North Carolina State University

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2283571

Reference34 articles.

1. Multifile Partitioning for Record Linkage and Duplicate Detection

2. QDA: A Query-Driven Approach to Entity Resolution

3. Deploying RMACC Summit

4. Betancourt, B., Zanella, G., Miller, J. W., Wallach, H., Zaidi, A., and Steorts, R. C. (2016), “Flexible Models for Microclustering with Application to Entity Resolution,” in Advances in Neural Information Processing Systems, (Vol. 29), eds. D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, and R. Garnett, Curran Associates, Inc.

5. (Almost) all of entity resolution

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1. Fast Bayesian Record Linkage for Streaming Data Contexts;Journal of Computational and Graphical Statistics;2023-11-15

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