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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.

Survey on blocking:

Papers

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Showing 376–400 of 524 papers

TitleStatusHype
Blocking of the CD80/86 axis as a therapeutic approach to prevent progression to more severe forms of COVID-19Code0
Cores in discrete exchange economies with complex endowments—0
Effective Model of Loop Extrusion Predicts Chromosomal DomainsCode0
SARS-CoV-2 mortality in blacks and temperature-sensitivity to an angiotensin-2 receptor blocker—0
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain GraphCode0
Qd-tree: Learning Data Layouts for Big Data Analytics—0
Reasoning about Typicality and Probabilities in Preferential Description Logics—0
Adversarial Distortion for Learned Video Compression—0
Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks—0
Improved YOLOv3 Object Classification in Intelligent Transportation System—0
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression—0
Verification of Nonblockingness in Bounded Petri Nets With Minimax Basis Reachability Graphs—0
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality—0
Refinements in Motion and Appearance for Online Multi-Object Tracking—0
Contextual Blocking Bandits—0
Residual learning based densely connected deep dilated network for joint deblocking and super resolution—0
Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach—0
Inefficiencies in Digital Advertising Markets—0
The Complexity of Interactively Learning a Stable Matching by Trial and Error—0
Flexible Subcarrier Allocation for Interleaved Frequency Division Multiple Access—0
BLCS: Brain-Like based Distributed Control Security in Cyber Physical Systems—0
Analysis of Blocking in mmWave Cellular Systems: Application to Relay Positioning—0
A4 : Evading Learning-based Adblockers—0
ML Estimation and CRBs for Reverberation, Speech and Noise PSDs in Rank-Deficient Noise-Field—0
Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada—0
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