Association rule learning - Wikipedia, the free encyclopedia: "In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Piatetsky-Shapiro[1] describes analyzing and presenting strong rules discovered in databases using different measures of interestingness. "
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