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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 276–300 of 524 papers

TitleStatusHype
Do price reductions attract customers in urban public transport? A synthetic control approach—0
Reinforcement Learning of Self Enhancing Camera Image and Signal ProcessingCode0
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention—0
Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning—0
Em-K Indexing for Approximate Query Matching in Large-scale ER—0
Leveraging Causal Graphs for Blocking in Randomized Experiments—0
Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand—0
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification—0
Suboptimal nonlinear model predictive control with input move-blocking—0
Nonlinear Robust Periodic Output Regulation of Minimum Phase Systems—0
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket AugmentationCode0
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter—0
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair RecognitionCode0
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue—0
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
ML-CB: Machine Learning Canvas BlockCode0
NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry—0
Deep learning for blocking in entity matching: a design space explorationCode1
Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments—0
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding—0
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning—0
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