[PDF][PDF] ModER: graph-based unsupervised entity resolution using composite modularity optimization and locality sensitive hashing
J Talburt - International Journal of Advanced Computer Science …, 2022 - par.nsf.gov
Entity resolution describes techniques used to identify documents or records that might not
be duplicated; nevertheless, they might refer to the same entity. Here we study the problem …
be duplicated; nevertheless, they might refer to the same entity. Here we study the problem …
Graph-based hierarchical record clustering for unsupervised entity resolution
Here we study the problem of matched record clustering in unsupervised entity resolution.
We build upon a state-of-the-art probabilistic framework named the Data Washing Machine …
We build upon a state-of-the-art probabilistic framework named the Data Washing Machine …
Graph-Based Unsupervised Entity Resolution for Identifying Entity Profiles in Ambiguous Data
IA Ebeid - 2022 - search.proquest.com
Entity resolution means finding duplicate records within the same table, across various
tables, or in multiple databases. Traditional and rule-based approaches in entity resolution …
tables, or in multiple databases. Traditional and rule-based approaches in entity resolution …
Entity Resolution y Deduplication con Blocking paralelo en Spark
G Herranz Álvarez - 2020 - docta.ucm.es
In this work we present and algorithm that allows the user to identify which registers from a
dataset, while not being identical, represent the same real-world entity (Entity Resolution) …
dataset, while not being identical, represent the same real-world entity (Entity Resolution) …