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DiSARM: Diverse and Surprising Association Rule Mining with Large Language Models

arXiv cs.AI · Lijia Liu, Hisashi Kashima ·

arXiv:2611.10445v1 Announce Type: new Abstract: Exploratory Data Analysis (EDA) aims to discover informative patterns in large datasets. For transactional data, Association Rule Mining (ARM) is an established approach that facilitates EDA by efficiently generating candidate patterns. Beyond efficient mining,…

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