Title: Construction Method for Decision Tree Based on FP_Tree Algorithm
Abstract: Aiming at the low efficiency problem of the construction of decision tree in large-scale training units, this paper presents an improved construction method for decision tree. This method uses FP_Tree algorithm to save more memory than Apriori algorithm. It takes the place of split algorithm of the training units in classical algorithm by the path of FP_Tree, and gets the same decision tree model as the original algorithm. Test results show that the improved method has good property.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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