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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 421430 of 524 papers

TitleStatusHype
Proactive Blockage Prediction for UAV assisted Handover in Future Wireless Network0
Probabilistic Blocking with An Application to the Syrian Conflict0
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring0
Protecting User Privacy in Online Settings via Supervised Learning0
Qd-tree: Learning Data Layouts for Big Data Analytics0
Rademacher upper bounds for cross-validation errors with an application to the lasso0
Random Forest DBSCAN for USPTO Inventor Name Disambiguation0
Rating the Crisis of Online Public Opinion Using a Multi-Level Index System0
RBF Weighted Hyper-Involution for RGB-D Object Detection0
Real-time Detection of Practical Universal Adversarial Perturbations0
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