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- W2372304485 abstract "Aprior algorithm is association rules mining algorithm which all known by the people. The outline of all Association Rules mining algorithm based on in the frequent item sets discovery algorithm in advanced. In order to enhance the association rules mining efficiency,in this paper, firstly, the graph-based discovering algorithm with association rules is discussed. Then, the author modifies this algorithm, transform the problem of find frequent item sets to discovering the clique graphs in the graph ,by searching the clique graphs in the association graph to find frequent itemsets. In this paper,author proposes an improved algorithm for the graph-based discovering association rules,and we compare the improved algorithm with the former algorithm from the complexity of times and spatial. Conclude in this algorithm efficiency. Finally, we see the GenerateItemsets algorithm prior to DGBFIG algorithm from experimental results." @default.
- W2372304485 created "2016-06-24" @default.
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- W2372304485 date "2006-01-01" @default.
- W2372304485 modified "2023-09-28" @default.
- W2372304485 title "An Improved Algorithm for the Graph-Based Discovering Association Rules" @default.
- W2372304485 hasPublicationYear "2006" @default.
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