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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

Showing 381390 of 524 papers

TitleStatusHype
Qd-tree: Learning Data Layouts for Big Data Analytics0
Reasoning about Typicality and Probabilities in Preferential Description Logics0
Adversarial Distortion for Learned Video Compression0
Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks0
Improved YOLOv3 Object Classification in Intelligent Transportation System0
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression0
Verification of Nonblockingness in Bounded Petri Nets With Minimax Basis Reachability Graphs0
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality0
Refinements in Motion and Appearance for Online Multi-Object Tracking0
Contextual Blocking Bandits0
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