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A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage
[chapter]
2017
Lecture Notes in Computer Science
Record linkage (RL) is the process of identifying and linking data that relates to the same physical entity across multiple heterogeneous data sources. Deterministic linkage methods rely on the presence of a set of common uniquely identifying attributes across all sources while probabilistic approaches use non-unique attributes and calculates similarity indexes for pairs of records. A key component of record linkage is accuracy assessment, the process of manually verifying and validating
doi:10.1007/978-3-319-64283-3_16
fatcat:etf55edz7ze7jjl534eosdpfbq