Incremental multiple fuzzy frequent pattern tree
Tzung‐Pei Hong, Jerry Chun‐Wei Lin, Tsung-Ching Lin, Shyue-Liang Wang · 2012
In the past, the multiple fuzzy frequent pattern tree (MFFP tree) was proposed for extracting multiple fuzzy frequent itemsets from quantitative transactions. It kept the multiple transformed fuzzy regions of an item to form the multiple fuzzy frequent itemsets. In this paper, an incremental algorithm is proposed for efficiently mining multiple fuzzy frequent itemsets based on the FUP concepts and the MFFP-tree structure. Experimental results show that the proposed incremental algorithm runs faster than the batch one.