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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 121–130 of 524 papers

TitleStatusHype
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Contextual adversarial attack against aerial detection in the physical world—0
Contextual Blocking Bandits—0
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning—0
A Framework for Causal Discovery in non-intervenable systems—0
Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems through Graph Neural Networks—0
Advancing Direct Convolution using Convolution Slicing Optimization and ISA Extensions—0
Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models—0
Blocking Bandits—0
A Neural Network Model of Continual Learning with Cognitive Control—0
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