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dc.contributor.authorQuintián Pardo, Héctor
dc.contributor.authorVega Cruz, Roberto
dc.contributor.authorVera González, Vicente
dc.contributor.authorAliaga, Ignacio
dc.contributor.authorGonzález Losada, Cristina
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorKlett, Fanny
dc.date.accessioned2017-09-06T09:16:51Z
dc.date.available2017-09-06T09:16:51Z
dc.date.issued2014
dc.identifier.citationInternational Joint Conference SOCO’13-CISIS’13-ICEUTE’13 Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing. Volumen 239, pp. 669-678.
dc.identifier.isbn978-3-319-01853-9 (Print) / 978-3-319-01854-6(Online)
dc.identifier.issn2194-5357 (Print) / 2194-5365 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/135133
dc.description.abstractThis study applies Artificial Intelligence techniques to analyse the results obtained in different tests to assess the skills of high qualified personnel as engineers, pilots, doctors, dentists, etc. Several Exploratory Projection Pursuit techniques are successfully applied to a novel and real dataset for the assessment of personnel skills and to identify weaknesses to be improved in a later phase. These techniques reduce the complexity of the evaluation process and allow identifying the most relevant aspects in the personnel training in an intuitive way, enhancing the particular training process and thus, the human resources management as a whole and saving training costs.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleSoft Computing Techniques for Skills Assessment of Highly Qualified Personnel
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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