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cs.AI2026
Tabular Foundation Models Can Learn Association Rules
Erkan Karabulut, Daniel Daza, Paul Groth +2
Association Rule Mining (ARM) is a fundamental task for knowledge discovery in tabular data and is widely used in high-stakes decision-making. Classical ARM methods rely on frequen…
cs.AI2025
Neurosymbolic Association Rule Mining from Tabular Data
Erkan Karabulut, Paul Groth, Victoria Degeler
Association Rule Mining (ARM) is the task of mining patterns among data features in the form of logical rules, with applications across a myriad of domains. However, high-dimension…