DC FieldValueLanguage
dc.contributor.authorPapakyriakopoulos, Dimitrios-
dc.contributor.authorBardaki, Cleopatra-
dc.contributor.authorGriva, Anastasia-
dc.contributor.authorPramatari, Katerina-
dc.date.accessioned2024-04-19T10:11:48Z-
dc.date.available2024-04-19T10:11:48Z-
dc.date.issued2018-06-15-
dc.identifierscopus-85041435692-
dc.identifier.issn0957-4174-
dc.identifier.other85041435692-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2156-
dc.description.abstractBasket analytics is a powerful tool in the retail context for acquiring knowledge about consumer shopping habits and preferences. In this paper, we propose a business analytics approach that mines customer visit segments from basket sales data. We characterize a customer visit by the purchased product categories in the basket and identify the shopping intention or mission behind the visit e.g. a ‘breakfast’ visit to purchase cereal, milk, bread, cheese etc. We also suggest a semi-supervised feature selection approach that uses the product taxonomy as input and suggests customized categories as output. This approach is utilized to balance the product taxonomy tree that has a significant effect on the data mining results. We demonstrate the utility of our approach by applying it to a real case of a major European fast-moving consumer goods (FMCG) retailer. Apart from its theoretical contribution, the proposed approach extracts knowledge that may support several decisions ranging from marketing campaigns per customer segment, redesign of a store's layout to product recommendations.en_US
dc.language.isoenen_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.subjectClusteringen_US
dc.subjectCustomer visit segmentationen_US
dc.subjectData miningen_US
dc.subjectRetail business analyticsen_US
dc.subjectShopper behavioren_US
dc.titleRetail business analytics: customer visit segmentation using market basket dataen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2018.01.029en_US
dc.identifier.scopus2-s2.0-85041435692-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume100en_US
dc.identifier.spage1en_US
dc.identifier.epage16en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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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