Knowledge Discovery from XML Documents

Volume 3915 of the series Lecture Notes in Computer Science pp 3-12

Mining Changes from Versions of Dynamic XML Documents

  • Laura Irina RusuAffiliated withDepartment of Computer Science & Computer Eng, LaTrobe University
  • , Wenny RahayuAffiliated withDepartment of Computer Science & Computer Eng, LaTrobe University
  • , David TaniarAffiliated withSchool of Business Systems, Monash University

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The ability to store information contained in XML documents for future reference becomes a very important issue these days, as the number of applications which use and exchange data in XML format is growing continuously. Moreover, the contents of XML documents are dynamic and they change across time, so researchers are looking to efficient solutions to store the documents’ versions and eventually extract interesting information out of them. This paper proposes a novel approach for mining association rules from changes between versions of dynamic XML documents, in a simple manner, by using the information contained in the consolidated delta. We argue that by applying our proposed algorithm, important information about the behaviour of the changed XML document in time could be extracted and then used to make predictions about its future performance.