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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 411420 of 524 papers

TitleStatusHype
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding0
SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumCode0
d-blink: Distributed End-to-End Bayesian Entity ResolutionCode0
SQLR: Short-Term Memory Q-Learning for Elastic Provisioning0
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text ClassificationCode0
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing0
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data0
Multi-Channel Deep Networks for Block-Based Image Compressive SensingCode0
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding0
Residual-Guided In-Loop Filter Using Convolution Neural Network0
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