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- W2379507082 abstract "The algorithm for discovering association rules based on graph only scans the database once to construct an association graph and then traverses the graph to generate all frequent itemsets. It costs too much time in proving the candidate frequent itemsets to be really frequent. An improved algorithm was proposed. The improvements were renumbering the frequent 1 item in the support degree descending order and utilizing the Apriori property to prune the redundant extended items which were used to generate the candidate frequent itemsets. Experiment results show that the improved algorithm prune the redundant candidate frequent itemsets when the minimum support degree is small, and the performance is improved." @default.
- W2379507082 created "2016-06-24" @default.
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- W2379507082 date "2006-01-01" @default.
- W2379507082 modified "2023-09-23" @default.
- W2379507082 title "An efficient graph-based algorithm for discovering association rules" @default.
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