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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >AN EFFICIENT METHOD FOR MINING PERIODIC TRANSITIONAL PATTERNS IN TRANSACTION DATABASE
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AN EFFICIENT METHOD FOR MINING PERIODIC TRANSITIONAL PATTERNS IN TRANSACTION DATABASE

机译:在交易数据库中挖掘定期过渡模式的有效方法

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摘要

Transaction database is used to find frequent itemsets from large datasets along with their associated timestamps. The existing frequent pattern mining algorithms such as Apriori, FP-growth, Partition, Pincer Search do not consider the timestamps associat
机译:事务数据库用于从大型数据集中找到频繁的项目集以及其关联的时间戳。现有的频繁模式挖掘算法,如APRiori,FP-Grower,Partition,Pincer搜索不考虑时间戳Associat

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