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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 101–125 of 524 papers

TitleStatusHype
Efficient MPI-based Communication for GPU-Accelerated Dask ApplicationsCode0
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket AugmentationCode0
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair RecognitionCode0
Evaluating Blocking Biases in Entity MatchingCode0
BFRFormer: Transformer-based generator for Real-World Blind Face RestorationCode0
Classification of social media Toxic comments using Machine learning modelsCode0
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big DatasetsCode0
A Rule Mining-Based Advanced Persistent Threats Detection SystemCode0
Effective Model of Loop Extrusion Predicts Chromosomal DomainsCode0
Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGDCode0
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic RegressionCode0
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous RelaxationCode0
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather eventsCode0
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter WeatherCode0
Deep Convolution Networks for Compression Artifacts ReductionCode0
d-blink: Distributed End-to-End Bayesian Entity ResolutionCode0
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chainsCode0
A Systematic Approach to Blocking Convolutional Neural NetworksCode0
Augmenting Rule-based DNS Censorship Detection at Scale with Machine LearningCode0
Destruction of Image Steganography using Generative Adversarial NetworksCode0
Pushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate ModelsCode0
DABT: A Dependency-aware Bug Triaging MethodCode0
Detecting DGA domains with recurrent neural networks and side informationCode0
Towards Universal Dense Blocking for Entity ResolutionCode0
Foundation for unbiased cross-validation of spatio-temporal models for species distribution modelingCode0
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