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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 501–524 of 524 papers

TitleStatusHype
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic RegressionCode0
L0-norm Sparse Graph-regularized SVD for Biclustering—0
BioSpaun: A large-scale behaving brain model with complex neurons—0
ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution—0
Escaping the trap of 'blocking': a kinetic model linking economic development and political competition—0
Pedestrian Travel Time Estimation in Crowded Scenes—0
On the impact of Masking and Blocking Hypotheses for measuring efficacy of new tuberculosis vaccines—0
Ethnicity sensitive author disambiguation using semi-supervised learningCode0
ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution—0
On Identifying Anomalies in Tor Usage with Applications in Detecting Internet Censorship—0
Tumor-induced neoneurogenesis and perineural tumor growth: a mathematical approach—0
Visual Data Deblocking using Structural Layer Priors—0
Compression Artifacts Reduction by a Deep Convolutional NetworkCode0
Mass campaigns with antimalarial drugs: a modelling comparison of artemether-lumefantrine and DHA-piperaquine with and without primaquine as tools for malaria control and elimination—0
A 0.042 mm^2 programmable biphasic stimulator for cochlear implants suitable for a large number of channels—0
Named Entity Recognition and Resolution in Legal Text—0
Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization—0
On the Non-Monotonic Description Logic ALC+T_min—0
Hypertableau Reasoning for Description Logics—0
Dynamic Blocking and Collapsing for Gibbs Sampling—0
New Approach of Estimating PSNR-B For De-blocked Images—0
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals—0
No-Reference Image Quality Assessment in the Spatial DomainCode0
Pointwise shape-adaptive DCT for high-quality deblocking of compressed color images—0
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