基于窗口内投影的闭合高效用模式挖掘

Closed High Utility Pattern Mining over Data Stream Based on Projection in the Window

提出了一种快速且有效的数据流高效用模式挖掘算法EFIM_Closed_DS.算法基于窗口内投影技术,在每个窗口中使用数据库投影技术以及事务合并方法有效地减少了数据库扫描的代价。使用高效的剪枝技术和有效的闭合项集检测方法能够剪枝大量低效用项集以及非闭合项集。大量实验结果显示,提出的算法比之前最先进的算法在内存和时间上都更为有效。

A fast and effective algorithm EFIM_Closed_DS was proposed to mine closed and high utility itemsets in the data stream environment. The algorithm is based on the projection technology in the window, and the database projection technology and transaction merging method are used in each window to effectively reduce the cost of database scanning. Using efficient pruning techniques and effective closed itemset detection methods can prune a large number of low-utility itemsets and non-closed itemsets. A large number of experimental results show that the proposed algorithm is more effective in memory and time than previous state-of-the-art algorithm CHUI_DS.