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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 276–300 of 524 papers

TitleStatusHype
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning—0
Optimal occlusion uniformly partitions red blood cells fluxes within a microvascular network—0
Optimal Vaccination Policy to Prevent Endemicity: A Stochastic Model—0
Rail-only: A Low-Cost High-Performance Network for Training LLMs with Trillion Parameters—0
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning—0
Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing—0
Partition-based Stability of Coalitional Games—0
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks—0
PEA265: Perceptual Assessment of Video Compression Artifacts—0
Pedestrian Travel Time Estimation in Crowded Scenes—0
Pointwise shape-adaptive DCT for high-quality deblocking of compressed color images—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
Post-Training BatchNorm Recalibration—0
Potential of proteasome inhibitors to inhibit cytokine storm in critical stage COVID-19 patients—0
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration—0
Predicting Eye Fixations Under Distortion Using Bayesian Observers—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Proactive Blockage Prediction for UAV assisted Handover in Future Wireless Network—0
Probabilistic Blocking with An Application to the Syrian Conflict—0
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring—0
Protecting User Privacy in Online Settings via Supervised Learning—0
Qd-tree: Learning Data Layouts for Big Data Analytics—0
Rademacher upper bounds for cross-validation errors with an application to the lasso—0
Random Forest DBSCAN for USPTO Inventor Name Disambiguation—0
Rating the Crisis of Online Public Opinion Using a Multi-Level Index System—0
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