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dc.contributor.authorMolina Fernández, Carlos
dc.contributor.authorPrados Suárez, María Belén 
dc.contributor.authorCortés Romero, Antonio Manuel 
dc.date.accessioned2025-01-31T07:37:22Z
dc.date.available2025-01-31T07:37:22Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/10481/101408
dc.description.abstractThere has been increasing interest in risk scoring and bank- ruptcy prediction in recent years. Most of the current proposals analyse a set of parameters to classify companies as either active or def ault. What banks really need, however, is to be able to predict the probabil- ity of bankruptcy occurring in the future. Current approaches do not enable a deeper analysis to estimate the direction of a company as the parameters under study evolve. This article proposes a system for the Bankruptcy Scenario Query (B-SQ) which is based on association rules to allow users to conduct “What if...?” queries, and obtain as a response what usually happens under similar scenarios with the corresponding probability of it occurring.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectScenario queryes_ES
dc.subjectAssociation ruleses_ES
dc.titleBankruptcy scenario query: B-SQes_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/978-3-319-67582-4_21
dc.type.hasVersionAMes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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