Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9555
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDE VOS, Daniella-
dc.contributor.authorVANHOOF, Koen-
dc.contributor.authorVan Landeghem, H.-
dc.date.accessioned2009-04-30T10:36:05Z-
dc.date.issued2008-
dc.identifier.citationFirst Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society 2008.-
dc.identifier.isbn978-88-495-1656-2-
dc.identifier.urihttp://hdl.handle.net/1942/9555-
dc.language.isoen-
dc.titleResearch on knowledge discovery methods in databases to predict logistical performances related to company’s Financial state: a meta-analysis-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencenameFirst Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society 2008-
dc.bibliographicCitation.conferencenr1-
local.bibliographicCitation.conferenceplaceCaserta, Italy, 11-13 June 2008-
local.bibliographicCitation.jcatC1-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
local.classIncludeIn-ExcludeFrom-List/ExcludeFromFRIS-
local.bibliographicCitation.btitleFirst Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society 2008-
item.fullcitationDE VOS, Daniella; VANHOOF, Koen & Van Landeghem, H. (2008) Research on knowledge discovery methods in databases to predict logistical performances related to company’s Financial state: a meta-analysis. In: First Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society 2008..-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
item.contributorDE VOS, Daniella-
item.contributorVANHOOF, Koen-
item.contributorVan Landeghem, H.-
Appears in Collections:Research publications
Show simple item record

Page view(s)

12
checked on Nov 7, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.