HAML-IRL: Overcoming the Imbalanced Record Linkage Problem Using Hybrid Active Machine Learning

HAML-IRL: Overcoming the Imbalanced Record Linkage Problem Using Hybrid Active Machine Learning

Traditional active machine learning (AML) methods employed in Record Linkage (RL) or Entity Resolution (ER) tasks often struggle with model stability, slow convergence, and handling imbalanced data. Our study introduces a novel hybrid Active Machine Learning approach to address RL, overcoming the ch...

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Bibliographic Details
Main Authors: Mourad Jabrane, Mouad JBEL, Imad HAFIDI, Yassir ROCHD
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2025-04-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
record linkage
entity resolution
active machine learning
hybrid query
Online Access:http://www.ejmanager.com/fulltextpdf.php?mno=220477
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