Frequent Mining on XML Documents

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Author(s): Sangeetha Kutty (Queensland University of Technology, Australia)
Copyright: 2009
Pages: 22
Source title: Handbook of Research on Text and Web Mining Technologies
Source Author(s)/Editor(s): Min Song (New Jersey Institute of Technology, USA)and Yi-Fang Brook Wu (New Jersey Institute of Technology, USA)
DOI: 10.4018/978-1-59904-990-8.ch014

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

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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 frequent pattern mining, which has huge potential in varied domains such as bio-informatics, network analysis. This chapter presents some of the existing techniques to discover frequent patterns from XML documents. It also covers the applications and addresses the major issues in mining XML documents. Frequent Patterns: Patterns which occurs more than a user-specified threshold limit (minimum support or min_supp) in a given database.

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