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Through research on the calculation method of feature words' weight in texts and semantic similarity between words, we proposed a calculation method of feature words' weight based on concept weight for the semantic association phenomenon of text features and the prevalence of high-dimensional problem in a text vector space model. This method reduces the semantic loss of the feature set and the dimension...
In this paper, a novel algorithm for mining maximal frequent patterns is proposed based on projection sum frequent items tree. This algorithm projects the transaction base into a projection sum tree and it can store the frequent itemsets in the tree in a compact manner. The algorithm builds frequent patterns tree directly as FPMax algorithm does. However, all the nodes of PSFIT are sorted and ordered,...
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