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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 251–275 of 524 papers

TitleStatusHype
Network Coexistence Analysis of RIS-Assisted Wireless Communications—0
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration—0
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization—0
Neural Locality Sensitive Hashing for Entity Blocking—0
Neural Reasoning About Agents' Goals, Preferences, and Actions—0
Neural Video Compression with Feature Modulation—0
New Approach of Estimating PSNR-B For De-blocked Images—0
Non-Blocking Batch A* (Technical Report)—0
Non-Blocking Robustness Analysis in Discrete Event Systems—0
Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks—0
Nonequilibrium model of short-range repression in gene transcription regulation—0
Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning—0
Nonlinear Robust Periodic Output Regulation of Minimum Phase Systems—0
Nonlinear Statistical Data Assimilation for HVC_RA Neurons in the Avian Song System—0
Observability-Blocking Controls for Double-Integrator and Higher Order Integrator Networks—0
Observability-Blocking Control using Sparser and Regional Feedback for Network Synchronization Processes—0
Observability Blocking for Functional Privacy of Linear Dynamic Networks—0
On Asynchronous Non-Dominated Sorting for Steady-State Multiobjective Evolutionary Algorithms—0
On-Chip and Off-Chip TIA Amplifiers for Nanopore Signal Readout Design, Performance and Challenges: A Review—0
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing—0
On Identifying Anomalies in Tor Usage with Applications in Detecting Internet Censorship—0
On the impact of Masking and Blocking Hypotheses for measuring efficacy of new tuberculosis vaccines—0
On the importance of block randomisation when designing proteomics experiments—0
On the Non-Monotonic Description Logic ALC+T_min—0
OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization—0
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