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Estimating Precision and Recall for Deterministic and Probabilistic Record Linkage
International Statistical Review, 2018SummaryLinking administrative, survey and census files to enhance dimensions such as time and breadth or depth of detail is now common. Because a unique person identifier is often not available, records belonging to two different units (e.g. people) may be incorrectly linked.
Chipperfield, James O +2 more
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Active Learning for Probabilistic Record Linkage
SSRN Electronic Journal, 2018Integrating information from multiple sources plays a key role in social science research. However, when a unique identifier that unambiguously links records is not available, merging datasets can be a difficult and error-prone endeavor. Probabilistic record linkage (PRL) aims to solve this problem by providing a framework in which common variables ...
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Probabilistic linkage of large public health data files
Statistics in Medicine, 1995AbstractProbabilistic linkage technology makes it feasible and efficient to link large public health databases in a statistically justifiable manner. The problem addressed by the methodology is that of matching two files of individual data under conditions of uncertainty.
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Probabilistic Data Generation for Deduplication and Data Linkage
2005In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and pre-processing of such data likely involves deduplication or linkage with other data, which is often challenged by a lack of unique entity identifiers. In recent years there has been an increased research effort in data linkage and
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Large-scale entity extraction and probabilistic record linkage
2014 International Conference on Collaboration Technologies and Systems (CTS), 2014Summary form only given. Large-scale entity extraction, disambiguation and linkage in Big Data can challenge the traditional methodologies developed over the last three decades. Entity linkage, in particular, is cornerstone for a wide spectrum of applications, such as Master Data Management, Data Warehousing, Social Graph Analytics, Fraud Detection and
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Probabilistic Record Linkage for Disclosure Risk Assessment
2014Disclosure limitation methods for protecting the confidentiality of respondents in survey microdata often use perturbative techniques which introduce measurement error into the categorical identifying variables. In addition, the data itself will often have measurement errors commonly arising from survey processes.
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Supervised Negative Binomial Classifier for Probabilistic Record Linkage
2022Harish Kashyap K, Kiran Byadarhaly
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