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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 461–470 of 524 papers

TitleStatusHype
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
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