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Explain mining single ?dimensional boolean associated rules from transactional databases?
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Answer Posted / Ram Kumar Yadav
Single Dimensional Boolean Associated Rule Mining is a Data Mining technique used to find rules that have only one attribute (dimension) and produce boolean results (true or false). For example, this can be used to find out if the purchase of milk always results in the purchase of bread. The rule would be expressed as 'Milk -> Bread'.
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