Web Reference: Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. [1] Jun 19, 2025 · Association rule learning (ARL) is a pivotal unsupervised machine learning technique in data mining and knowledge discovery. It’s used to uncover interesting relations or associations among a set of items in a dataset. Association rule mining is a technique used to identify patterns in large data sets. It involves finding relationships between variables in the data and using those relationships to make predictions or decisions. The goal of association rule mining is to uncover rules that describe the relationships between different items in the data set. For exam...
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