The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Duplicate Record Detection: A Survey
Open accessAbstract
Often, in the real world, entities have two or more representations in databases. Duplicate records do not share a common key and/or they contain errors that make duplicate matching a difficult task. Errors are introduced as the result of transcription errors, incomplete information, lack of standard formats, or any combination of these factors. In this paper, we present a thorough analysis of the literature on duplicate record detection. We cover similarity metrics that are commonly used to detect similar field entries, and we present an extensive set of duplicate detection algorithms that can detect approximately duplicate records in a database. We also cover multiple techniques for improving the efficiency and scalability of approximate duplicate detection algorithms. We conclude with coverage of existing tools and with a brief discussion of the big open problems in the area
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Text classification from labeled and unlabeled documents using EM
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Bizer, C., Heath, T., & Berners-Lee, T. (2011) · Semantic Services, Interoperability and Web Applications · doi:10.4018/978-1-60960-593-3.ch008 · Cited by 426
Holistic data cleaning: Putting violations into context
Chu, X., Ilyas, I. F., & Papotti, P. (2013) · 2013 IEEE 29th International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2013.6544847 · Cited by 326
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
Linked Data - The Story So Far
Bizer, C., Heath, T., & Berners-Lee, T. (2023) · Linking the World’s Information · doi:10.1145/3591366.3591378 · Cited by 319
Metadata
- Authors
- Elmagarmid, A. K., Ipeirotis, P. G., & Verykios, V. S.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 2007-01
- Volume
- 19
- Issue
- 1
- Pages
- 1-16
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W3123518987
- Cited by
- 1,267
- References
- 5
- FWCI
- 31.66
- Type
- journal article
- Language
- en
- Open access
- green
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