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The application research of Extenics in association rules data mining

机译:可扩展性在关联规则数据挖掘中的应用研究

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This article describes the theory knowledge of the extenics and association rules, And combined extension and association rule mining algorithm, Construction of a database element model, the complex database reduced to intuitive and simple database, make expression more clear, and reduce the next step rule mining of data calculation. In the basic of Apriori algorithm significant association rules data mining based on the extension. Using association rule mining algorithm and extension of the correlation thought the database of extension of data mining association rules, access to many valuable association rules. And an example illustrates the effectiveness of this method.
机译:本文介绍了可扩展性和关联规则的理论知识,并结合了扩展和关联规则挖掘算法,构建了数据库元素模型,将复杂的数据库简化为直观而简单的数据库,使表达更加清晰,并减少了下一步规则挖掘数据计算。在Apriori算法的基础上,基于扩展的重要关联规则数据挖掘。利用关联规则挖掘算法和相关性扩展思想,对数据库进行数据挖掘扩展关联规则,获取许多有价值的关联规则。并举例说明了该方法的有效性。

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