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Bankruptcy scenario query: B-SQ
dc.contributor.author | Molina Fernández, Carlos | |
dc.contributor.author | Prados Suárez, María Belén | |
dc.contributor.author | Cortés Romero, Antonio Manuel | |
dc.date.accessioned | 2025-01-31T07:37:22Z | |
dc.date.available | 2025-01-31T07:37:22Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | https://hdl.handle.net/10481/101408 | |
dc.description.abstract | There 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.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Scenario query | es_ES |
dc.subject | Association rules | es_ES |
dc.title | Bankruptcy scenario query: B-SQ | es_ES |
dc.type | conference output | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1007/978-3-319-67582-4_21 | |
dc.type.hasVersion | AM | es_ES |