A Conceptual Approach to Temporal Rare Item set Utility Mining

Conventional Frequent pattern mining discovers patterns in transaction databases based only on the relative frequency of occurrence of items without considering their utility. Rare objects are often of great interest and great value. Until recently, rarity has not received much attention in the context of data mining. For many real world applications, however, utility of rare itemsets based on cost, profit or revenue is of importance.

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