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Index model and related search algorithms developed upon it are the fundamental issues of information retrieval, data mining and knowledge discovery. Upon doubled-sorted inter-relevant successive tree, a newly full-text index model, this paper develops a search algorithm, which remarkably improves the full-text search efficiency, and demonstrates the advantages of inter-relevant successive trees in...
Facing the huge amounts of data, the familiar classification algorithms show the shortages on time efficiency, robustness and accuracy. So this article puts the Hybrid Intelligent Systems into the research of classification algorithm. Based on the cognitive psychology and aggregative model theory, the article proposes a new Hybrid Intelligent System: R-FC-DENN, according to Rough Set, Clustering theory,...
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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