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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 451–475 of 524 papers

TitleStatusHype
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning—0
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis—0
Optimal occlusion uniformly partitions red blood cells fluxes within a microvascular network—0
Face Recognition Using Map Discriminant on YCbCr Color Space—0
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning ModelsCode0
Blue-blocking spectacles lenses for retinal damage protection and circadian rhythm: evaluation parameters—0
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images—0
AdGraph: A Graph-Based Approach to Ad and Tracker BlockingCode0
On Asynchronous Non-Dominated Sorting for Steady-State Multiobjective Evolutionary Algorithms—0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing—0
The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples—0
SparCML: High-Performance Sparse Communication for Machine Learning—0
Distributed One-class Learning—0
A Unified Deep Learning Architecture for Abuse Detection—0
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning—0
Learning to Customize Network Security RulesCode0
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image—0
60 GHz Blockage Study Using Phased Arrays—0
Increased hepatic PDGF-AA signaling mediates liver insulin resistance in obesity associated type 2 diabetes—0
School bus routing by maximizing trip compatibility—0
The blocking effect and Korean caki—0
Emergent Complexity via Multi-Agent CompetitionCode0
Image Dehazing using Bilinear Composition Loss Function—0
Scaling Author Name Disambiguation with CNF Blocking—0
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