An XML-Enabled Data Mining Query Language XML-DMQL

L. Feng, T. Dillon

Research output: Contribution to journalArticleAcademic

18 Citations (Scopus)
20 Downloads (Pure)

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.
Original languageUndefined
Pages (from-to)22-41
Number of pages20
JournalInternational journal of business intelligence and data mining
Volume1
Issue number1
Publication statusPublished - 2005

Keywords

  • DB-XMLDB: XML DATABASES
  • Invited paper
  • IR-66232
  • EWI-6288
  • METIS-229579
  • DB-DM: DATA MINING

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