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Showing 1 to 6 of 6 for “"entity matching"”.
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Knowledge Based Open Entity Matching
… we argue for the definition a knowledge-based entity matching framework for the implementation of a reliable and incrementally scalable solution. Such knowledge base is formed by an ontology and a set of entity matching rules suitable to be applied as a reliable equational theory in the context …
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Automatically learning optimal formula simplifiers and database entity matching rules
… in constraint solvers and database entity matching (EM). First, we present a system called Swapper based on our framework that can automatically generate code for efficient formula simplifiers specialized to a class of problems. Formula simplification is an important part of modern …
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Data-centric Approaches for Responsible Data Science
… reliability warnings. Secondly, we study entity matching—a foundational task in data integration—through the lens of group fairness. We introduce new fairness definitions for entity matching, conduct a broad empirical analysis of existing techniques, and propose efficient algorithms to …
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Regularized algorithms for ranking, and manifold learning for related tasks
… Supervise content-word learning, and b) Company Entity matching for record linkage problems.
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Temporal Graph Record Linkage and k-Safe Approximate Match
… to the identical or a sufficiently similar entity from multiple heterogeneous databases. RL is a data and compute intensive, mission critical process. The process must be efficient enough to process big data and effective enough to provide accurate matches. We have evaluated an RL system …
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Truth finding in databases
Restriction data tranferred 2014-07-01T11:36:02-05:00 Original Data Group with Access Administrator Release Date: 2015-02-03 13:47:48 UTC Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system