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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 301–350 of 524 papers

TitleStatusHype
Hypertableau Reasoning for Description Logics—0
Hypothetical answers to continuous queries over data streams—0
I call BS: Fraud Detection in Crowdfunding Campaigns—0
Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory—0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization—0
Image Dehazing using Bilinear Composition Loss Function—0
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs—0
Impact of UAVs Equipped with ADS-B on the Civil Aviation Monitoring System—0
Improvable Students in School Choice—0
Improved Projection-free Online Continuous Submodular Maximization—0
Improved Regret for Bandit Convex Optimization with Delayed Feedback—0
Improved YOLOv3 Object Classification in Intelligent Transportation System—0
Improving Ads-Profitability Using Traffic-Fingerprints—0
Improving Cross-Domain Hate Speech Detection by Reducing the False Positive Rate—0
Incentive-compatible public transportation fares with random inspection—0
Increased hepatic PDGF-AA signaling mediates liver insulin resistance in obesity associated type 2 diabetes—0
RNN based Incremental Online Spoken Language Understanding—0
Inefficiencies in Digital Advertising Markets—0
Informative Scene Graph Generation via Debiasing—0
Inhibition in Random Neuronal Networks Enhances Response Variability and Disrupts Stimulus Discrimination—0
Innovative RIS Prototyping Enhancing Wireless Communication with Real-Time Spot Beam Tracking and OAM Wavefront Manipulation—0
In silico Prediction of Mozenavir as potential drug for SARS-CoV-2 infection via Binding Multiple Drug Targets—0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Intelligent Blockage Prediction and Proactive Handover for Seamless Connectivity in Vision-Aided 5G/6G UDNs—0
Intelligent Reflecting Surface Enhanced Resilient Design for MEC Offloading over Millimeter Wave Links—0
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter—0
IPM Move Planner: AN EFFICIENT EXPLOITING DEEP REINFORCEMENT LEARNING WITH MONTE CARLO TREE SEARCH—0
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing—0
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding—0
Knowledge Graph Guided Evaluation of Abstention Techniques—0
L0-norm Sparse Graph-regularized SVD for Biclustering—0
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression—0
Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures—0
Learned Block-based Hybrid Image Compression—0
LearnedKV: Integrating LSM and Learned Index for Superior Performance on Storage—0
Learned Video Compression—0
Learning a Discrete Set of Optimal Allocation Rules in a Queueing System with Unknown Service Rate—0
Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles—0
Learning CNF Blocking for Large-scale Author Name Disambiguation—0
Learning Dual Priors for JPEG Compression Artifacts Removal—0
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems—0
Learning to Use Learners' Advice—0
Leveraging Language Models for Automated Patient Record Linkage—0
Leveraging large language models for efficient representation learning for entity resolution—0
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin—0
LithOS: An Operating System for Efficient Machine Learning on GPUs—0
Local SGD Meets Asynchrony—0
Long-distance anaphors and the blocking effect revisited-An East Asian perspective—0
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention—0
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