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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

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Showing 111–120 of 524 papers

TitleStatusHype
With a little help from my friends: essentiality vs opportunity in group criticality—0
Contextual adversarial attack against aerial detection in the physical world—0
A Survey on Resilient Machine Learning—0
Combinatorial Blocking Bandits with Stochastic Delays—0
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Attention based Occlusion Removal for Hybrid Telepresence Systems—0
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues—0
Constrained Deployment Optimization in Integrated Access and Backhaul Networks—0
A Framework for Causal Discovery in non-intervenable systems—0
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