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A Hybrid Classification Method for Database Contents Analysis

Jean-Charles Lamirel 1 Yannick Toussaint 2 Shadi Al Shehabi 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The hybridisation of different classification and mining techniques coming from different areas such as the numeric and the symbolic worlds can produce a significant enhancement of the overall classification and retrieval performance in a Data Mining or Information Retrieval context.This paper introduces an experimental methodology to match an explicative structure issued from a symbolic classification to a numerical classification. The classification models used in the experiment are a boolean lattice on the symbolic side and a Kohonen Self Organising Map model (SOM) on the numerical side.
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https://hal.inria.fr/inria-00107733
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Submitted on : Thursday, October 19, 2006 - 9:07:13 AM
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Jean-Charles Lamirel, Yannick Toussaint, Shadi Al Shehabi. A Hybrid Classification Method for Database Contents Analysis. The 16th International FLAIRS Conference - FLAIRS 2003, 2003, St. Augustine, Florida. ⟨inria-00107733⟩

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