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Communication Dans Un Congrès Année : 2003

A Hybrid Classification Method for Database Contents Analysis

Résumé

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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Dates et versions

inria-00107733 , version 1 (19-10-2006)

Identifiants

  • HAL Id : inria-00107733 , version 1

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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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