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Frequent pattern mining on XML documents

Kutty, Sangeetha & Nayak, Richi (2008) Frequent pattern mining on XML documents. In Song, Min & Wu, Yi-Fang Brook (Eds.) Handbook of research on text and web mining technologies. Information Science Reference (IGI Global), Hershey, Pa.

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Abstract

With the emergence of XML standardization, XML documents have been widely used and accepted in almost all the major industries. As a result of the widespread usage, it has been considered essential to not only store these XML documents but also to mine them to discover useful information from them. One of the very popular techniques to mine XML documents is the frequent pattern mining, which has huge potential in varied domains such as bio-informatics, network analysis. This chapter presents some of the existing mining techniques to discover frequent patterns from XML documents. It also covers the applications and addresses the major issues in mining XML documents.

Impact and interest:

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ID Code: 18180
Item Type: Book Chapter
Additional Information: For more information about this book please refer to the publisher's website (see link) or contact the author.
Keywords: XML Frequent Pattern Mining, XML Content Mining, XML Structure Mining, Subgraphs, Subtrees
ISBN: 9781599049908
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Current > Schools > School of Curriculum
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 Information Science Reference (IGI Global)
Deposited On: 23 Feb 2009 14:46
Last Modified: 25 Mar 2013 18:08

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