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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
Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs—0
Cellular Automata Model for Non-Structural Proteins Comparing Transmissibility and Pathogenesis of SARS Covid (CoV-2, CoV) and MERS Covid—0
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer—0
Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier—0
A Review of the GIC Blocker Placement Problem—0
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding—0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir—0
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
A small molecule drug candidate targeting SARS-CoV-2 main protease—0
Cores in discrete exchange economies with complex endowments—0
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems—0
An Experimental Study of Decentralized Matching—0
A Survey on Resilient Machine Learning—0
Combinatorial Blocking Bandits with Stochastic Delays—0
With a little help from my friends: essentiality vs opportunity in group criticality—0
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach—0
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues—0
Constrained Deployment Optimization in Integrated Access and Backhaul Networks—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
A Framework for Causal Discovery in non-intervenable systems—0
Contextual adversarial attack against aerial detection in the physical world—0
Contextual Blocking Bandits—0
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning—0
Advancing Direct Convolution using Convolution Slicing Optimization and ISA Extensions—0
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