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

dc.contributor.author	Andrés Suárez, Javier
dc.contributor.author	Lorca Fernández, Pedro
dc.contributor.author	Cos Juez, Francisco Javier de
dc.contributor.author	Sánchez Lasheras, Fernando
dc.date.accessioned	2013-01-30T10:03:53Z
dc.date.available	2013-01-30T10:03:53Z
dc.date.issued	2011
dc.identifier.citation	ExpeSystems with Applications, 38(3), p. 1866–1875 (2011); doi:10.1016/j.eswa.2010.07.117	spa
dc.identifier.issn	0957-4174
dc.identifier.uri	http://hdl.handle.net/10651/7610
dc.language.iso	eng
dc.relation.ispartof	ExpeSystems with Applications	spa
dc.source	Scopus	spa
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-77956474111&partnerID=40&md5=540e3758d969f89b13f29da96592aa4d
dc.title	Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)	spa
dc.type	journal article
dc.identifier.local	20100778	spa
dc.identifier.doi	10.1016/j.eswa.2010.07.117
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.eswa.2010.07.117	spa

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