Qualitative Induction Trees applied to the study of the financial rating

Llorenç Roselló, Núria Agell, Mónica Sánchez, Francesc Prats

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Resum

In this work the Qualitative Induction Trees and the algorithm QUIN are described to construct them. It is justified its suitability for the prediction of the rating of the companies. Predicting the rating of a company requires a thorough knowledge of the ratios and values that indicate the company's situation and, also, a deep understanding of the relationships between them and the main factors that can modify these values. In this paper are given concrete examples of application in the prediction of the variation of the rating, analyzing on one hand which is this variation and on the other hand explaining which are the more influent variables in this change.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development
Pàgines63-70
Nombre de pàgines8
Estat de la publicacióPublicada - 2006
Esdeveniment9th International Conference of the Catalane Association for Artificial Intelligence, CCIA 2006 - Perpignan, France
Durada: 26 d’oct. 200627 d’oct. 2006

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum146
ISSN (imprès)0922-6389

Conferència

Conferència9th International Conference of the Catalane Association for Artificial Intelligence, CCIA 2006
País/TerritoriFrance
CiutatPerpignan
Període26/10/0627/10/06

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