Abstract Using the concept of frequent pattern tree of FP_growth, a new frequent pattern tree containing positive and negative items is constructed. The frequent itemsets with positive and negative items are mined through extending frequent patterns on the tree. Compared with the algorithms of directly using FP_growth, the proposed algorithm has no requirement for growing negative item to original database as well as the construction or destruction of additional data structures. Only some modifications to the original frequent pattern tree are needed. Therefore it has certain advantages in time and space costs. Experiments show that the algorithm has better efficiency than the existing mining algorithms and algorithms of directly using FP_growth.
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