Market basket analysis and association rule mining.
市场购物篮分析及关联规则挖掘。
Theoretical analysis shows that this paper to protect the privacy of association rule mining method has a very good privacy and efficient.
理论分析表明本文提出的隐私保护关联规则挖掘方法具有很好的隐私性和高效性。
Association rule is a method of data mining, whose typical application is the analysis of shopping basket in supermarket.
关联规则是数据挖掘的一种方法，它的最典型的应用是超市的购物篮分析。
Association rule mining may help making many business decisions such as catalog design, cross-marketing, and loss-leader analysis.
关联规则挖掘可以帮助许多商务决策的制定，如分类设计、交叉购物和贱卖分析。
In this article, we discussed an analysis method of library 's hook circulation data, the association rule mining method.
本文探讨了图书流通数据的一种量化分析方法-关联规则的挖掘。
Association rule mining is the application of associated analysis in data mining, which is a very important subject with high theoretical value and extensive application.
关联规则挖掘是数据挖掘中关联分析的运用，是数据挖掘一个非常重要的学科，具有很高的理论价值和广泛的应用前景。
The paper through the analysis of association rule mining algorithm, an improved association rule algorithm is applied to mining student achievement.
本文通过对关联规则挖掘算法的详细分析，应用了一种改进的关联规则算法对学生成绩进行挖掘。
The paper through the analysis of association rule mining algorithm, an improved association rule algorithm is applied to mining student achievement.
本文通过对关联规则挖掘算法的详细分析，应用了一种改进的关联规则算法对学生成绩进行挖掘。
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