Inducted Concepts From Embbeded Classes For Automatic Interpretation In Hierarchical Clustering
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Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/7190
Tipus de documentProjecte Final de Màster Oficial
Data2009-06-22
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In very complex and unstructured domains, the Intelligent Decision Support Systems become very important tools for the expert, since allow to manage a quantity of information in a way that would be impossible to do manually. Inside
this kind of systems, the classification tools are one of the most common, and,
specifically, the clustering techniques. However, these techniques have problems
when managing huge amount of variables and classes, because the interpretation
of the generated classes becomes very complicate.
For this reason, in this project we want to generate an automatically conceptual interpretation of the classes generated by a clustering technique to help in
the labor of the expert with a clearer vision of what is representing each class in
order to understand quickly and easy what are the properties and characteristics
of these data.
MatèriesExpert systems (Computer science), Decision support systems, Cluster analysis, Sistemes experts (Informàtica), Sistemes d'ajuda a la decisió, Anàlisi de conglomerats
TitulacióMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2009)
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
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EstherLozanoThesis.pdf | 530,4Kb | Visualitza/Obre |