A Survey of the State of the Art in Data Mining and Integration Query Languages

A Survey of the State of the Art in Data Mining and Integration Query Languages

Abstract

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.

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Authors
  • Pllana, Sabri
  • Janciak, Ivan
  • Brezany, Peter
  • Wöhrer, Alexander
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
2011 International Conference on Network-Based Information Systems
Divisions
Scientific Computing
Subjects
Programmiersprachen
Datenbanken
Angewandte Informatik
Event Location
Tirana, Albania
Event Type
Conference
Event Dates
7-9 Sept. 2011
Series Name
Network-Based Information Systems (NBiS)
ISSN/ISBN
978-1-4577-0789-6
Publisher
IEEE Computer Society
Page Range
pp. 341-348
Date
2011
Official URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
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