XML algebras for data mining

Ming Zhang; JingTao Yao

doi:10.1117/12.543826

12 April 2004 XML algebras for data mining

Ming Zhang, JingTao Yao

Proceedings Volume 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI; (2004) https://doi.org/10.1117/12.543826
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

The XML is a new standard for data representation and exchange on the Internet. There are studies on XML query languages as well as XML algebras in literature. However, attention has not been paid to research on XML algebras for data mining due to partially the fact that there is no widely accepted definition of XML mining tasks. This paper tries to examine the XML mining tasks and provide guidelines to design XML algebras for data mining. Some summarization and comparison have been done to existing XML algebras. We argue that by adding additional operators for mining tasks, XML algebras may work well for data mining with XML documents.

Citation Download Citation

Ming Zhang and JingTao Yao "XML algebras for data mining", Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); https://doi.org/10.1117/12.543826

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