A New Method for Mining High Average Utility Itemsets
作者： Tien Lu , Bay Vo , Hien T. Nguyen , Tzung-Pei Hong
DOI: 10.1007/978-3-662-45237-0_5
关键词:
摘要: Data mining is one of exciting fields in recent years. Its purpose to discover useful information and knowledge from large databases for business decisions other areas. One engineering topic data utility which discovers high-utility itemsets. An itemset traditional considers individual profits quantities items transactions regardless its length. The average-utility measure then proposed. This the total an divided by number items. Several algorithms were also proposed high itemsets (HAUIs) a transactional database. However, generated candidates very since not HAUI, but it others can be HAUIs. Some effective approaches have been prune save time. paper proposes new method mine HAUI transaction databases. advantage this reduce efficiently using HAUI-Tree. A structure developed improve speed calculating values optimize memory usage.
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