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A Survey of the State of the Art in Data Mining andIntegration Query Languages
University of Vienna, Austria.ORCID iD: 0000-0002-4146-9062
University of Vienna, Austria.
University of Vienna, Austria.
University of Vienna, Austria.
2011 (English)In: 2011 International Conference on Network-Based Information Systems, IEEE, 2011, p. 341-348Conference 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, 2011. p. 341-348
National Category
Computer Sciences
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, id: 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: 2025-05-07Bibliographically approved

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Pllana, Sabri

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  • asciidoc
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