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Research and Application of Association rules mining In group-based teaching

机译:基于小组教学中的关联规则挖掘的研究与应用

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For increasing the efficiency of mining association rules in student score database, this paper presents an improved algorithm that doesn't extract all rules, but extracts a subset of all rules that is called rule-generating set. We can use it to get all rules. The number of the rule-generating set is smaller than all rules, so the efficiency of mining is increased. The algorithm in this paper extracts rule from a group of nodes. We can use smaller memory sizes storing rules and increase the speed of finding rules. The paper also proposed a kind of data structure used storing the rule-generating set and an algorithm that can use the rule-generating set to get normal rule-generating set. Lastly the method of deciding an itemset existing or not was presented for application system.
机译:为了提高矿业关联规则在学生分数数据库中的效率,本文提出了一种不提取所有规则的改进算法,而是提取称为规则生成集的所有规则的子集。我们可以用它来获取所有规则。规则生成集的数量小于所有规则,因此挖掘的效率增加。本文中的算法从一组节点中提取规则。我们可以使用较小的内存大小存储规则并提高查找规则的速度。本文还提出了一种存储规则生成集的数据结构和可以使用规则生成集来获得正常规则生成集的算法。最后,为应用系统提供了决定itemset的方法。

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