Based On Xml And The Concept Of Hierarchical Tree Data Mining Research

Along with the impprovement of the XMl technology more and more web data began to be represented using XML. XML is playing an increasingly important role in the exchange and represent of a wide variety of data on the Web and elsewhere due to its scalability, flexibility, platform independence, simplicity, standardization and so on,therefore, there have been inceasing demands for efficient methods that can extract rules and pattersn from XML data, However, the XML data on the Web is too complex and semi-structured with no certain description pattern. Thus, we can not directly apply to XML data whth the traditional data mining methods for relational databases. Hence, it is a great challenge to develop efficient and scalable methods for XML data mining.In this paper, combined XML-based data mining concept and hierarchy tree of knowledge,I have proposed a data mining system framework that based on XML and hierarchical tree. According to each step in the frame I have described interrelated implementation technology, including data preprocessing, data storage, XML data mining and knowledge storage and express. According to the framework and the association rules related technologies present a data mining algorithm that based on XML and the concept hierarchy tree, which not only reduces the time complexity, but also make mining results easier to understand.XML-based data mining of association rules have some theoretical and practical significance. Finally, this paper designs and implements an e-commerce data mining system, which verifies and analyzes the proposed algorithm and system framework.