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Communication Dans Un Congrès Année : 2009

Possibilistic Ordination-Based Analysis of an Imperfect Database

Résumé

An approach that aims to reveal and to explain the pattern of information potentially present in a dataset consisting of n objects by ordering them using the possibility-based Robinsonian similarity matrix is proposed. The similarity is estimated between objects containing imperfect and heterogeneously-assigned data. A graph-based model is proposed to visualize these patterns. This method is applied to a medical database. Without any a priori medical knowledge and without knowing the key attributes of the pathologies, the objects have been ranked according to their corresponding classes.
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Dates et versions

hal-02118518 , version 1 (03-05-2019)

Identifiants

  • HAL Id : hal-02118518 , version 1

Citer

Anas Dahabiah, John Puentes, Basel Solaiman. Possibilistic Ordination-Based Analysis of an Imperfect Database. 7th IEEE/ACS International Conference on Computer Systems and Applications, May 10-13, Rabat, Morocco, May 2009, Rabat, Morocco. pp.199 - 204. ⟨hal-02118518⟩
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