An XML-enabled data mining query language: XML-DMQL
Access Status
Fulltext not available
Authors
Feng, L.
Dillon, Tharam S.
Date
2005Type
Journal Article
Metadata
Show full item recordCitation
Feng, L. and Dillon, T.S. 2005. An XML-enabled data mining query language: XML-DMQL. International Journal of Business Intelligence and Data Mining. 1 (1): pp. 22-41.
Source Title
International Journal of Business Intelligence and Data Mining
ISSN
Collection
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.
Related items
Showing items related by title, author, creator and subject.
-
Gao, L.; Chang, Elizabeth; Han, Song (2005)With the extensive inclusion of document, especially text, in the business systems, data mining does not cover the full scope of Business Intelligence. Data mining cannot deliver its impact on extracting useful details ...
-
Marriott, Andrew (2008)This thesis describes the architecture, implementation issues and evaluation of Mentor - an educational support system designed to mentor students in their university studies. Students can ask (by typing) natural language ...
-
Lim, Lisa; Ansaldo, Umberto (2007)This timely volume moves away considerably from traditional topics investigated in studies of multilingualism and linguistic identity to propose new analytical approaches that investigate postcolonial societies from the ...