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An efficient XML query pattern mining algorithm for ebXML applications in e-commerce

机译：电子商务中ebXML应用程序的有效XML查询模式挖掘算法

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Providing efficient query to XML data for ebXML applications in e-commerce is crucial, as XML has become the most important technique to exchange data over the Internet. ebXML is a set of specification for companies to exchange their data in e-commerce. Following the ebXML specifications, companies have a standard method to exchange business messages, communicate data, and business rules in e-commerce. Due to its tree-structure paradigm, XML is superior for its capability of storing and querying complex data for ebXML applications. Therefore, discovering frequent XML query patterns has become an interesting topic for XML data management in ebXML applications. The study presents an efficient mining algorithm, namely ebX2Miner, to discover the frequent XML query patterns for ebXML applications. Unlike the existing algorithms, the study proposes a new idea by encoding the XML user queries and then storing these codes to generate the frequent XML user query patterns. Furthermore, the simulation results show that the ebX2Miner outperforms other algorithms in its execution time and used memory space.
机译：在电子商务中为ebXML应用程序提供对XML数据的有效查询至关重要，因为XML已成为通过Internet交换数据的最重要技术。 ebXML是公司在电子商务中交换数据的一组规范。遵循ebXML规范，公司具有在电子商务中交换业务消息，交流数据和业务规则的标准方法。由于其树状结构范例，XML在为ebXML应用程序存储和查询复杂数据方面具有卓越的能力。因此，发现频繁的XML查询模式已成为ebXML应用程序中XML数据管理的有趣主题。该研究提出了一种有效的挖掘算法ebX2Miner，以发现ebXML应用程序的频繁XML查询模式。与现有算法不同，该研究提出了一种新思路，即对XML用户查询进行编码，然后存储这些代码以生成频繁的XML用户查询模式。此外，仿真结果表明，ebX2Miner在执行时间和已用内存空间方面优于其他算法。

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