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Conference papers

Combining Symbolic and Numeric Techniques for Database Content Analysis

Yannick Toussaint 1 Jean-Charles Lamirel 2 Mathieu d'Aquin 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The goal of this article is to prove that the mixture of different classification and mining techniques coming from so different areas such as the numeric and the symbolic worlds can combine their mutual advantages in order to produce a significant enhancement of the overall classification and retrieval performance in a Data Mining or Information Retrieval context.
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Conference papers
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https://hal.inria.fr/inria-00100633
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 2:48:32 PM
Last modification on : Thursday, January 20, 2022 - 4:12:37 PM

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  • HAL Id : inria-00100633, version 1

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Yannick Toussaint, Jean-Charles Lamirel, Mathieu d'Aquin. Combining Symbolic and Numeric Techniques for Database Content Analysis. AI/IEA01, 2001, none. ⟨inria-00100633⟩

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