d-blink: Distributed End-to-End Bayesian Entity Resolution

• Published in: arXiv.org
• Main Authors: Marchant, Neil G, Kaplan, Andee, Elazar, Daniel N, Rubinstein, Benjamin I P, Steorts, Rebecca C
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 22.09.2020
• Subjects: Algorithms; Bayesian analysis; Clustering; Computer Science - Databases; Computer Science - Learning; Perturbation; Probability theory; Statistics - Computation; Statistics - Machine Learning; Uncertainty

Entity resolution (ER; also known as record linkage or de-duplication) is the process of merging noisy databases, often in the absence of unique identifiers. A major advancement in ER methodology has been the application of Bayesian generative models, which provide a natural framework for inferring...