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Title:
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COMPARATIVE STUDY OF DATA MINING QUERY LANGUAGES |
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Author(s):
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Mohamed Anis Bachtobji |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Knowledge Discovery from Databases, Inductive Database, Data Mining Languages. |
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Type:
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Full Paper |
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First Page:
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259 |
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Last Page:
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268 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Since formulation of Inductive Database (IDB) problem, several Data Mining (DM) languages have been proposed,
confirming that KDD process could be supported via inductive queries (IQ) answering. This paper reviews the existing
DM languages. We are presenting important primitives of the DM language and classifying our languages according to
primitives satisfaction. In addition, we presented languages syntaxes and tried to apply each one to a database sample to
test a set of KDD operations. This study allows us to highlight languages capabilities and limits, which is very useful for
future work and perspectives. |
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