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The use of machine learning algorithms for the study of business profitability: A new approach based on preferences

dc.contributor.authorAndrés Suárez, Javier 
dc.contributor.authorLorca Fernández, Pedro 
dc.contributor.authorBahamonde Rionda, Antonio 
dc.contributor.authorCoz Velasco, Juan José del 
dc.date.accessioned2015-04-14T09:37:26Z
dc.date.available2015-04-14T09:37:26Z
dc.date.issued2004
dc.identifier.citationThe International Journal of Digital Accounting Research, 4(8), p. 99-124 (2004)
dc.identifier.issn1577-8517
dc.identifier.urihttp://hdl.handle.net/10651/30622
dc.description.abstractIn 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 providespa
dc.format.extentp. 99-124spa
dc.language.isoengspa
dc.publisherUniversidad de Huelva, Rutgers University
dc.relation.ispartofThe International Journal of Digital Accounting Research, 4(8)spa
dc.rightsCC Reconocimiento 3.0 España
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectProfitabilityspa
dc.subjectMachine learning algorithmspa
dc.titleThe use of machine learning algorithms for the study of business profitability: A new approach based on preferenceseng
dc.typeinfo:eu-repo/semantics/article
dc.type.dcmitextspa


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