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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 476–500 of 524 papers

TitleStatusHype
CarFi: Rider Localization Using Wi-Fi CSI—0
Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs—0
Cellular Automata Model for Non-Structural Proteins Comparing Transmissibility and Pathogenesis of SARS Covid (CoV-2, CoV) and MERS Covid—0
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer—0
Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier—0
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
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning—0
Coalitions in Repeated Games—0
Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems through Graph Neural Networks—0
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach—0
Couples can be tractable: New algorithms and hardness results for the Hospitals / Residents problem with Couples—0
Coupling volume-excluding compartment-based models of diffusion at different scales: Voronoi and pseudo-compartment approaches—0
Covariance Blocking and Whitening Method for Successive Relative Transfer Function Vector Estimation in Multi-Speaker Scenarios—0
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference—0
Ctrl-Z: Controlling AI Agents via Resampling—0
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis—0
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