Discovering frequently changing structures from historical structural deltas of unordered XML
Proceedings of the thirteenth ACM international conference on Information and knowledge management
An XML-enabled data mining query language: XML-DMQL
International Journal of Business Intelligence and Data Mining
Maintaining versions of dynamic XML documents
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Weigted-FP-tree based XML query pattern mining
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
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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.