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A Survey of the State of the Art in Data Mining andIntegration Query Languages
University of Vienna, Austria.
University of Vienna, Austria.
University of Vienna, Austria.
University of Vienna, Austria.
2011 (English)In: 2011 International Conference on Network-Based Information Systems, IEEE Computer Society, 2011, 341-348 p.Conference paper, Published paper (Refereed)
Abstract [en]

The major aim of this survey is to identify the strengths and weaknesses of a representative set of Data-Mining and Integration (DMI) query languages. We describe a set of properties of DMI-related languages that we use for a systematic evaluation of these languages. In addition, we introduce a scoring system that we use to quantify our opinion on how well a DMI-related language supports a property. The languages surveyed in this paper include: DMQL, Mine SQL, MSQL, M2MQL, dmFSQL, OLEDB for DM, MINE RULE, and Oracle Data Mining. This survey may help researchers to propose a DMI language that is beyond the state-of-the-art, or it may help practitioners to select an existing language that fits well a purpose.

Place, publisher, year, edition, pages
IEEE Computer Society, 2011. 341-348 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-28212DOI: 10.1109/NBiS.2011.58ISBN: 978-1-4577-0789-6 (print)OAI: oai:DiVA.org:lnu-28212DiVA: diva2:641201
Conference
2011 International Conference on Network-Based Information Systems, NBiS 2011; Tirana; Albania; 7-9 September 2011
Available from: 2013-08-15 Created: 2013-08-15 Last updated: 2016-05-26Bibliographically approved

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Pllana, Sabri

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf