Incremental Mining Alogorithm Pre-FP in Association Rules Based on FP-tree
Liu Jian-ping, Ying Wang, Yang Fan-ding · 2010
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 couldn’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 don’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.