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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 401–425 of 524 papers

TitleStatusHype
Destruction of Image Steganography using Generative Adversarial NetworksCode0
Intelligent Reflecting Surface Enhanced Resilient Design for MEC Offloading over Millimeter Wave Links—0
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking DecoderCode2
Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers—0
Revisiting the probabilistic method of record linkage—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
RNN based Incremental Online Spoken Language Understanding—0
Boosting Image Recognition with Non-differentiable Constraints—0
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding—0
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 Provisioning—0
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text ClassificationCode0
Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing—0
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data—0
Multi-Channel Deep Networks for Block-Based Image Compressive SensingCode0
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding—0
Neural Text Generation with Unlikelihood TrainingCode1
Residual-Guided In-Loop Filter Using Convolution Neural Network—0
Blocking Bandits—0
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn—0
Generalizing from a few environments in safety-critical reinforcement learning—0
Dynamically Stable Matching—0
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big DatasetsCode0
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