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In this paper, we study the novel aggregate queries on probabilistic record linkages, such as counting the number of matched records. We address several ...
Record linkage analysis, which matches records referring to the same real world entities from different data sets, is an important task in data integration.
Mar 26, 2012 · ABSTRACT. Record linkage analysis, which matches records referring to the same real world entities from different data sets, is an.
ABSTRACT. Record linkage analysis, which matches records referring to the same real world entities from different data sets, is an.
In this paper, we aim to provide a solution of evaluating aggregate queries on three types of PSJ pairs.
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What is probabilistic record linking?
What is the difference between probabilistic and deterministic record linkage?
Apr 28, 2015 · I am trying to match records from two tables without a common key and with some errors in the data. Specifically I have records in Table A for a given group ...
Missing: Aggregate | Show results with:Aggregate
Record linkage analysis, which matches records referring to the same real world entities from different data sets, is an important task in data integration.
fastLink step by step (optional functions). 1) Calculate agreement variable by variable: gammapar*(). 2) Count unique agreement patterns: tableCounts(). 3) ...
In this paper, we formalize two important query types: sliding-window probabilistic threshold sum query and sliding-window probabilistic threshold count query.
Jul 10, 2017 · Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from ...