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Incremental Mining Alogorithm Pre-FP in Association Rules Based on FP-tree

机译:基于FP-tree的关联规则增量挖掘算法Pre-FP

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At present, most of association rule mining are static mining algorithms. However, in real Web applications, new transactions are usually incrementally inserted into database, the previous algorithms couldnȁ9;t satisfy the rapid growth like this. In this paper, we proposed the incremental mining algorithms called Pre-FP based on PUFP-tree and Per-large-itemsets. This algorithm donȁ9;t need rescan the original database when the new transactions surpass the fixed threshold, especially when each time the small fraction of transactions are inserted, Pre-FP can achieve a good execution efficiency for renewing construction of frequent pattern tree.
机译:目前,大多数关联规则挖掘都是静态挖掘算法。但是,在实际的Web应用程序中,通常将新的事务增量地插入数据库中,以前的算法无法满足9;不能满足这种快速增长的需求。在本文中,我们提出了基于PUFP-tree和Per-large-itemsets的增量挖掘算法Pre-FP。当新事务超过固定阈值时,该算法不需要重新扫描原始数据库,尤其是在每次插入一小部分事务时,Pre-FP都能获得良好的执行效率,以更新频繁模式树。

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