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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 131–140 of 524 papers

TitleStatusHype
A Review of the GIC Blocker Placement Problem—0
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks—0
Understanding and Counteracting Feature-Level Bias in Click-Through Rate PredictionCode0
Proactive Blockage Prediction for UAV assisted Handover in Future Wireless Network—0
Masked Graph Autoencoder with Non-discrete BandwidthsCode1
Nash Soft Actor-Critic LEO Satellite Handover Management Algorithm for Flying Vehicles—0
Neural Locality Sensitive Hashing for Entity Blocking—0
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction—0
Boosting Multi-view Stereo with Late Cost AggregationCode1
An Experimental Study of Decentralized Matching—0
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