Mining Association Rules from XML Data

Mining Association Rules from XML Data

Qin Ding (East Carolina University, USA) and Gnanasekaran Sundarraj (The Pennsylvania State University at Harrisburg, USA)
Copyright: © 2008 |Pages: 13
DOI: 10.4018/978-1-59904-960-1.ch003
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Abstract

With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semi-structured data, there is an imminent need for tools and techniques to perform data mining on XML documents and XML repositories. In this chapter, we propose a framework for association rule mining on XML data. We present a Java-based implementation of the Apriori and the FP-Growth algorithms for this task and compare their performances. We also compare the performance of our implementation with an XQuery-based implementation.

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