文章基本信息

标题：The Use Of Machine Learning Algorithms for the Study of Business Profitability: A New Approach Based on Preferences
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作者：Javier de Andrés ; Pedro Lorca ; Antonio Bahamonde 等
期刊名称：International Journal of Digital Accounting Research
印刷版ISSN：1577-8517
出版年度：2004
卷号：4
页码：99-124
出版社：University of Huelva, Rutgers University
摘要：In recent years, researchers in the field of Artificial Intelligence have developed a learning technique, namely, preference learning, that is suitable to be used for economic analysis. The present research empirically tests one of these models, which consists of a combination of LACE and RFE algorithms. The problem of forecasting the profitability of Spanish companies upon the basis of a set of financial ratios is used as a benchmark. The model provides forecasted rankings, which are a kind of information that is more useful for the economic analysts than the forecasted class memberships that traditional machine learning techniques provide.uction.
关键词：profitability; machine learning algorithms; preference learning; financial ratios.r