Title: An XML-enabled data mining query language: XML-DMQL

Authors: Ling Feng, Tharam Dillon

Addresses: Database Group, Zilvering Building 3098, Department of Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. ' Faculty of Information Technology, University of Technology, Sydney, City campus, P.O. Box 123, Broadway, NSW 2007, Australia

Abstract: Inspired by the good work of Han et al. (1996) and Elfeky et al. (2001) on the design of data mining query languages for relational and object-oriented databases, in this paper, we develop an expressive XML-enabled data mining query language by extension of XQuery. We first describe some preliminaries on the extension of traditional rule mining to XML mining. The philosophy that guides the language design is then elaborated. We detail the syntax of the mining language and its usage with a number of examples.

Keywords: XML data mining; tree structure; data mining languages; data mining tasks; data mining fragments; data mining templates; query languages; relational databases; object-oriented databases.

DOI: 10.1504/IJBIDM.2005.007316

International Journal of Business Intelligence and Data Mining, 2005 Vol.1 No.1, pp.22 - 41

Published online: 05 Jul 2005 *

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