Define 'association rules' and describe their use in exploratory data mining.
Answer / Jyoti Agnihotri
"Association rules are an important concept used in data mining to identify relationships between variables within a dataset. They take the form of an if-then statement (if X, then Y), where X and Y are items or events from the dataset. In exploratory data mining, association rules can be used to uncover previously unknown patterns and trends, potentially leading to valuable insights for further analysis and decision making.".
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