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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 481–490 of 524 papers

TitleStatusHype
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
Cores in discrete exchange economies with complex endowments—0
Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains—0
Combinatorial Blocking Bandits with Stochastic Delays—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues—0
Constrained Deployment Optimization in Integrated Access and Backhaul Networks—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
Contextual adversarial attack against aerial detection in the physical world—0
Contextual Blocking Bandits—0
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