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An Improved Association Rule Mining Technique for Xml Data Using Xquery and Apriori Algorithm

机译:一种使用XQuery和Apriori算法的XML数据的改进关联规则挖掘技术

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The usage of XML data in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semi structured data tends to develop the various tools and techniques to perform various data mining operations on XML documents and XML repositories. In recent years, several encouraging methods have been identified and developed for mining XML data. In this paper, we present an improved framework for mining association rules from XML data using XQUERY and . NET based implementation of Apriori algorithm.
机译:在万维网中使用XML数据和其他地方作为数据交换的标准和表示半结构化数据的标准,倾向于开发各种工具和技术,以在XML文档和XML存储库上执行各种数据挖掘操​​作。近年来,已经确定了几种令人鼓舞的方法并开发用于采矿XML数据。在本文中,我们使用XQuery和的XML数据提出了一种改进的挖掘关联规则框架。基于网络的APRiori算法实现。

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