Business health characterization: A hybrid regression and support vector machine analysis
dc.contributor.author | Militký Jiří | cs |
dc.contributor.author | Kupka Karel | cs |
dc.contributor.author | Aneja Arun | cs |
dc.contributor.author | Pal Rudrajeet | cs |
dc.date.accessioned | 2018-09-25T12:05:09Z | |
dc.date.available | 2018-09-25T12:05:09Z | |
dc.date.issued | 2016 | cs |
dc.format.extent | 12 | cs |
dc.identifier.doi | 10.1016/j.eswa.2015.11.027 | |
dc.identifier.issn | 0957-4174 | cs |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/29839 | |
dc.language.iso | eng | cs |
dc.publisher | Elsevier Ltd | cs |
dc.publisher.city | Amsterdam | cs |
dc.relation.ispartofseries | 1 | cs |
dc.subject | Business health prediction | cs |
dc.subject | support vector machines models | cs |
dc.subject | regression model | cs |
dc.subject | volatile model building | cs |
dc.title | Business health characterization: A hybrid regression and support vector machine analysis | cs |
local.citation.epage | 48-59 | cs |
local.citation.spage | 48-59 | cs |
local.identifier.publikace | 3266 | |
local.identifier.wok | 000368959600004 | en |
local.relation.issue | May | cs |