A Patricia-Tree Approach for Frequent Closed Itemsets
نویسندگان
چکیده
In this paper, we propose an adaptation of the Patricia-Tree for sparse datasets to generate non redundant rule associations. Using this adaptation, we can generate frequent closed itemsets that are more compact than frequent itemsets used in Apriori approach. This adaptation has been experimented on a set of datasets benchmarks. Keywords—Datamining, Frequent itemsets, Frequent closed itemsets, Sparse datasets.
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