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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

Showing 6170 of 524 papers

TitleStatusHype
Learning to Customize Network Security RulesCode0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
The dynamic interplay between in-context and in-weight learning in humans and neural networksCode0
ISLAND: Interpolating Land Surface Temperature using land coverCode0
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random NetworksCode0
A Rule Mining-Based Advanced Persistent Threats Detection SystemCode0
Foundation for unbiased cross-validation of spatio-temporal models for species distribution modelingCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
Ethnicity sensitive author disambiguation using semi-supervised learningCode0
Evaluating Blocking Biases in Entity MatchingCode0
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