A Survey of the State of the Art in Data Mining and Integration Query Languages. CoRR abs/1603.01113 (2016)

A Survey of the State of the Art in Data Mining and Integration Query Languages. CoRR abs/1603.01113 (2016)

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
Journal Paper
Divisions
Scientific Computing
Journal or Publication Title
CoRR arXiv
ISSN
2377-4266
Date
April 2016
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