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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 341–350 of 524 papers

TitleStatusHype
Single Trajectory Conformal Prediction—0
Sitatapatra: Blocking the Transfer of Adversarial Samples—0
Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept—0
SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing—0
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings—0
SparCML: High-Performance Sparse Communication for Machine Learning—0
Spatially Correlated Patterns in Adversarial Images—0
SQLR: Short-Term Memory Q-Learning for Elastic Provisioning—0
State space partitioning based on constrained spectral clustering for block particle filtering—0
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks—0
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