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

Authors: Feng, Ling¹; Dillon, Tharam²

Source: International Journal of Business Intelligence and Data Mining, Volume 1, Number 1, 5 July 2005 , pp. 22-41(20)

Publisher: Inderscience Publishers

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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: MANAGEMENT JOURNALS; Business Administration; COMPUTING JOURNALS; Computing Science, Applications and Software

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJBIDM.2005.007316

Affiliations: 1: Database Group, Zilvering Building 3098, Department of Computer Science, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. 2: Faculty of Information Technology, University of Technology, Sydney, City campus, P.O. Box 123, Broadway, NSW 2007, Australia

Publication date: 2005-07-05

More about this publication?

The International Journal of Business Intelligence and Data Mining publishes and disseminates knowledge on an international basis in the areas of business intelligence, intelligent data analysis, and data mining. It provides a forum for state-of-the-art developments and research, as well as current innovative activities in business intelligence, data analysis and mining. In contrast to other journals, the International Journal of Business Intelligence and Data Mining focuses on the application of data analysis and mining techniques in business applications.
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