Privacy preserving record linkage in the presence of missing values
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 879138
- Type
- D - Journal article
- DOI
-
10.1016/j.is.2017.07.001
- Title of journal
- Information Systems
- Article number
- -
- First page
- 199
- Volume
- 71
- Issue
- -
- ISSN
- 0306-4379
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2017
- URL
-
https://doi.org/10.1016/j.is.2017.07.001
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first paper to propose a novel approach to record linkage, addressing both issues of missing values in records and privacy preservation of the records simultaneously. It is a main outcome of the ESRC funded Administrative Data Research Centre - Northern Ireland (ADRC-NI), and contributes to the methodology strand of the centre. It has strong impact on research and development of techniques for linking personal records from multiple datasets where privacy and confidentiality of record holders need to be preserved. This kind of privacy-preserving record linkage plays a significant role in administrative and public health data science applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
