DC FieldValueLanguage
dc.contributor.authorPapakyriakopoulos, Dimitrios-
dc.contributor.authorDoukidis, Georgios-
dc.date.accessioned2024-04-19T10:16:14Z-
dc.date.available2024-04-19T10:16:14Z-
dc.date.issued2011-08-18-
dc.identifierscopus-80051609015-
dc.identifier.issn2090-3367-
dc.identifier.issn2090-3359-
dc.identifier.other80051609015-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2159-
dc.description.abstractThe out-of-shelf problem is among the most important retail problems. This work employs two different classification algorithms, C4.5 and nÄive Bayes, in order to build a mechanism that makes decisions about whether a product is available on a retail store shelf or not. Following the same classification methods and feature spaces, we examined the classification performance of the algorithms in four different retail chains and utilized ROC curves and the area under curve measure to compare the predictive accuracy. Based on the results obtained for the different retail chains, we identified certain approaches for the development and introduction of such a mechanism in different retail contexts.en_US
dc.language.isoenen_US
dc.relation.ispartofAdvances in Decision Sciencesen_US
dc.titleClassification performance for making decisions about products missing from the shelfen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2011/515978en_US
dc.identifier.scopus2-s2.0-80051609015-
dcterms.accessRights1en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume2011en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-7033-1890-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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