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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 401410 of 524 papers

TitleStatusHype
Destruction of Image Steganography using Generative Adversarial NetworksCode0
Intelligent Reflecting Surface Enhanced Resilient Design for MEC Offloading over Millimeter Wave Links0
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 Browsers0
Revisiting the probabilistic method of record linkage0
Asynchronous Decentralized SGD with Quantized and Local Updates0
RNN based Incremental Online Spoken Language Understanding0
Boosting Image Recognition with Non-differentiable Constraints0
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding0
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