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Table 5: Suitable association rules from the new rules discovered after applying apriori algorithm.

机译：表5：应用APRIORI算法后发现的新规则的合适关联规则。

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1. Rough set-based rule generation and Apriori-based rule generation from table data sets II: SQL-based environment for rule generation and decision support [J] . Hiroshi Sakai, Zhiwen Jian CAAI Transactions on Intelligence Technology . 2019,第4期

机译：从表数据集II：规则生成和决策支持的基于SQL的环境基于粗糙的规则生成和基于APRiori的规则生成
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机译：表数据集的基于粗糙集的规则生成和基于APRiori的规则生成：调查和组合
3. Applicability of Apriori Based Association Rules on Medical Data: Identification of Associations on Medical Data/Heart disease Dataset using Apriori Based Algorithm [J] . P. Sambasiva Rao, T. Uma Devi International Journal of Applied Engineering Research . 2017,第20aPta2期

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4. Discovering patterns of NED-breast cancer based on association rules using apriori and FP-growth [C] . Tresna Maulana Fahrudin, Iwan Syarif, Ali Ridho Barakbah 2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing . 2017

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5. Analyzing association rules produced by applying the apriori algorithm to structured data. [D] . Gala, Darshana. 2006

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6. An Apriori Algorithm-Based Association Rule Analysis to Identify Acupoint Combinations for Treating Diabetic Gastroparesis [O] . Ping-Hsun Lu, Jui-Lin Keng, Fu-Ming Tsai, 2021

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7. Figure 6: Discovered rules after applying apriori algorithm in WEKA. [O] . -1

机译：图6：在Weka应用Apriori算法后发现了规则。

Table 5: Suitable association rules from the new rules discovered after applying apriori algorithm.

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