A Fuzzy Algorithm for Mining High Utility Rare Itemsets - FHURI

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Provided by: Association of Computer Electronics and Electrical Engineers
Topic: Big Data
Format: PDF
Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items. In many real world situations, utility of itemsets are based upon user's perspective such as cost, profit or revenue and are of significant importance. Utility mining considers using utility factors in data mining tasks. Utility-based descriptive data mining aims at discovering itemsets with high total utility is termed High utility Itemset mining. High utility itemsets may contain frequent as well as rare itemsets.
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