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- ajss-3-2-3 Apriori[1] is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis.
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学生管理。本人详细做的一个用SQL。完成课程设计的同学可拿来参考-Student management. I do a detailed use SQL. Completion of the course students may be brought for reference design
相关搜索: SQL 课程设计
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