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Mining Association Rules from XML Documents

Mining Association Rules from XML Documents

Laura Irina Rusu, Wenny Rahayu, David Taniar
Copyright: © 2007 |Pages: 25
ISBN13: 9781599042282|ISBN10: 1599042282|ISBN13 Softcover: 9781599042299|EISBN13: 9781599042305
DOI: 10.4018/978-1-59904-228-2.ch004
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MLA

Rusu, Laura Irina, et al. "Mining Association Rules from XML Documents." Web Data Management Practices: Emerging Techniques and Technologies, edited by Athena Vakali and George Pallis, IGI Global, 2007, pp. 79-103. https://doi.org/10.4018/978-1-59904-228-2.ch004

APA

Rusu, L. I., Rahayu, W., & Taniar, D. (2007). Mining Association Rules from XML Documents. In A. Vakali & G. Pallis (Eds.), Web Data Management Practices: Emerging Techniques and Technologies (pp. 79-103). IGI Global. https://doi.org/10.4018/978-1-59904-228-2.ch004

Chicago

Rusu, Laura Irina, Wenny Rahayu, and David Taniar. "Mining Association Rules from XML Documents." In Web Data Management Practices: Emerging Techniques and Technologies, edited by Athena Vakali and George Pallis, 79-103. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-228-2.ch004

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Abstract

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents, in the context of rapid changes in the Web knowledge discovery area. The initiative of this study was driven by the fast emergence of XML (eXtensible Markup Language) as a standard language for representing semi-structured data and as a new standard of exchanging information between different applications. The data exchanged as XML documents becomes every day richer and richer, so the necessity to not only store these large volume of XML data for later use, but to mine them as well, to discover interesting information, has became obvious. The hidden knowledge can be used in various ways, for example to decide on a business issue or to make predictions about future e-customer behaviour in a web-application. One type of knowledge which can be discovered in a collection of XML documents relates to association rules between parts of the document, and this chapter presents some of the top techniques for extracting them.

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