As mentioned in the experiment results section, we divide the data in small and large datasets.
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下载链接：
https://figshare.com/articles/dataset/Mining_Association_rules_for_Low-Frequency_itemsets/6851402
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资源简介：
The small datasets for calculating the frequency of itemsets in transaction database contain Accidents, Chess, Connection, Mushroom, PUSBM, and Retail [32] transaction datasets. There are 500, 1000, 2000, and 5000 transactions per dataset. The small datasets for calculating the utility of itemsets in a transaction database contain Accidents, Chess, Connection, Mushroom, PUSBM, and Retail [32] transaction datasets. There are 500, 1000, 2000, and 5000 transactions per dataset. The large datasets for caluclating the frequency of itemsets in a transaction database contain Accidents, Connection, and PUSBM [32] datasets. There are 10000, 20000, 30000, and 50000 transactions per dataset. The large datasets for calculating the utility of itemsets in a transaction database contain Accidents, Connection, and PUSBM [32] transaction datasets. There are 10000, 20000, 30000, and 50000 transactions per dataset.
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创建时间：
2018-07-23
