@inproceedings{b1dc646ead554b7b889ff7a4a68371ed,
title = "Qualitative Induction Trees applied to the study of the financial rating",
abstract = "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.",
keywords = "Financial rating, Learning algorithms, Orders of magnitude reasoning, Qualitative Induction Trees",
author = "Lloren{\c c} Rosell{\'o} and N. Agell and M{\'o}nica S{\'a}nchez and Francesc Prats",
year = "2006",
language = "English",
isbn = "1586036637",
series = "Frontiers in Artificial Intelligence and Applications",
pages = "63--70",
booktitle = "Artificial Intelligence Research and Development",
note = "9th International Conference of the Catalane Association for Artificial Intelligence, CCIA 2006 ; Conference date: 26-10-2006 Through 27-10-2006",
}