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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 171180 of 524 papers

TitleStatusHype
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks0
A computational study on synaptic and extrasynaptic effects of astrocyte glutamate uptake on orientation tuning in V10
ABACUS: A FinOps Service for Cloud Cost Optimization0
60 GHz Blockage Study Using Phased Arrays0
Broadband measurements and analysis of human blocking in a 60 GHz indoor radio channel0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits0
Boosting Image Recognition with Non-differentiable Constraints0
Boosting Gradient for White-Box Adversarial Attacks0
An introduction to Causal Modelling0
Adversarial Distortion for Learned Video Compression0
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