Association rule mining is a data mining technique used to uncover interesting relationships, patterns, and correlations among a set of items in large datasets. Originally developed for market basket analysis, it has found applications in various fields, including catalysis. In catalysis, association rule mining can help identify significant correlations between different catalytic reactions, reactants, products, and conditions.
