PyAerial: Scalable association rule mining from tabular data

Association Rule Mining (ARM) is a knowledge discovery technique that identifies frequent patterns as logical implications within transaction datasets and has been applied across domains such as e-commerce, healthcare, and cyber–physical systems. However, many state-of-the-art ARM methods, typically...

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Podrobná bibliografie

Hlavní autoři:	Erkan Karabulut, Paul Groth, Victoria Degeler
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-09-01
Edice:	SoftwareX
Témata:	Association rule mining Neurosymbolic ai Tabular data Interpretable machine learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352711025003073
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