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The use of machine learning algorithms for the study of business profitability: A new approach based on preferences
dc.contributor.author | Andrés Suárez, Javier | |
dc.contributor.author | Lorca Fernández, Pedro | |
dc.contributor.author | Bahamonde Rionda, Antonio | |
dc.contributor.author | Coz Velasco, Juan José del | |
dc.date.accessioned | 2015-04-14T09:37:26Z | |
dc.date.available | 2015-04-14T09:37:26Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | The International Journal of Digital Accounting Research, 4(8), p. 99-124 (2004) | |
dc.identifier.issn | 1577-8517 | |
dc.identifier.uri | http://hdl.handle.net/10651/30622 | |
dc.description.abstract | 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 | spa |
dc.format.extent | p. 99-124 | spa |
dc.language.iso | eng | spa |
dc.publisher | Universidad de Huelva, Rutgers University | |
dc.relation.ispartof | The International Journal of Digital Accounting Research, 4(8) | spa |
dc.rights | CC Reconocimiento 3.0 España | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | Profitability | spa |
dc.subject | Machine learning algorithm | spa |
dc.title | The use of machine learning algorithms for the study of business profitability: A new approach based on preferences | eng |
dc.type | journal article | |
dc.rights.accessRights | open access |
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