The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Record linkage: similarity measures and algorithms
Abstract
This tutorial provides a comprehensive and cohesive overview of the key research results in the area of record linkage methodologies and algorithms for identifying approximate duplicate records, and available tools for this purpose. It encompasses techniques introduced in several communities including databases, information retrieval, statistics and machine learning. It aims to identify similarities and differences across the techniques as well as their merits and limitations.
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Citations
Cites
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
Introduction to Modern Information Retrieval
Salton, G., & McGill, M. J. (1983) · Virtual Defense Library (Ministerio de Defensa) · Cited by 9,680
Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology
Gusfield, D. (1997) · Cambridge University Press eBooks · doi:10.1017/cbo9780511574931 · Cited by 3,078
Fellegi, I. P., & Sunter, A. B. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501049 · Cited by 2,475
Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida
Jaro, M. A. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478785 · Cited by 1,401
A comparison of string distance metrics for name-matching tasks
Cohen, W. W., Ravikumar, P., & Fienberg, S. E. (2003) · Cited by 1,371
Faloutsos, C., & Lin, K.-I. (1995) · Proceedings of the 1995 ACM SIGMOD international conference on Management of data - SIGMOD '95 · doi:10.1145/223784.223812 · Cited by 897
Ristad, E. S., & Yianilos, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.682181 · Cited by 859
The State of Record Linkage and Current Research Problems
Winkler, W. E. (1999) · Cited by 810
The merge/purge problem for large databases
Hernández, M. A., & Stolfo, S. J. (1995) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/223784.223807 · Cited by 809
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Rekatsinas, T., Chu, X., Ilyas, I. F., & Ré, C. (2017) · Proceedings of the VLDB Endowment · doi:10.14778/3137628.3137631 · Cited by 480
Evaluation of entity resolution approaches on real-world match problems
Köpcke, H., Thor, A., & Rahm, E. (2010) · Proceedings of the VLDB Endowment · doi:10.14778/1920841.1920904 · Cited by 443
A Survey of Extract-Transform-Load Technology
Vassiliadis, P. (2009) · International Journal of Data Warehousing and Mining · doi:10.4018/jdwm.2009070101 · Cited by 323
Metadata
- Authors
- Koudas, N., Sarawagi, S., & Srivastava, D.
- Venue
- Proceedings of the 2006 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2006-06-27
- Pages
- 802-803
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2007682403
- Cited by
- 289
- References
- 28
- FWCI
- 24.34
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Koudas, N., Sarawagi, S., & Srivastava, D. (2006). Record linkage: similarity measures and algorithms. Proceedings of the 2006 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1142473.1142599
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
