Discovery of High Utility Itemsets Using Genetic Algorithm with Ranked Mutation

摘要: Utility mining is the study of itemset from consideration utilities. It utility-based approach to find itemsets conforming user preferences. Modern research in high-utility (HUI) databases faces two major challenges: exponential search space and database-dependent minimum utility threshold. The extremely vast when number distinct items size database are very large. Data analysts must specify suitable thresholds for their tasks, although they might have no knowledge pertaining databases. Moreover, a utility-mining algorithm supports only an with positive item values. To evade these problems, approaches presented HUI containing negative values transaction databases: with/without specifying threshold through genetic ranked mutation. best our knowledge, this first work on ...