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Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)

dc.contributor.authorAndrés Suárez, Javier 
dc.contributor.authorLorca Fernández, Pedro 
dc.contributor.authorCos Juez, Francisco Javier de 
dc.contributor.authorSánchez Lasheras, Fernando 
dc.date.accessioned2013-01-30T10:03:53Z
dc.date.available2013-01-30T10:03:53Z
dc.date.issued2011
dc.identifier.citationExpeSystems with Applications, 38(3), p. 1866–1875 (2011); doi:10.1016/j.eswa.2010.07.117spa
dc.identifier.issn0957-4174
dc.identifier.urihttp://hdl.handle.net/10651/7610
dc.language.isoeng
dc.relation.ispartofExpeSystems with Applicationsspa
dc.sourceScopusspa
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-77956474111&partnerID=40&md5=540e3758d969f89b13f29da96592aa4d
dc.titleBankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)spa
dc.typeinfo:eu-repo/semantics/article
dc.identifier.local20100778spa
dc.identifier.doi10.1016/j.eswa.2010.07.117
dc.type.dcmitextspa
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.eswa.2010.07.117spa


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