Business Intelligence and Data Mining to Support Sales in Retail

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dc.contributor.authorCastelo-Branco, Francisca
dc.contributor.authorReis, José Luís
dc.contributor.authorCarvalho Vieira, José
dc.contributor.authorCayolla, Ricardo
dc.date.accessioned2021-10-20T11:03:15Z
dc.date.available2021-10-20T11:03:15Z
dc.date.issued2020-01
dc.description.abstractMarkets are increasingly competitive, and organizations are constantly finding ways to improve their data processing in order to be able to find their customers’ behavioral patterns when they buy their products. The aim of this study is to create a body of knowledge, so that a project can use the tools and techniques associated with data mining in retail sales in a proper way, presented concepts and key techniques like market basket analysis, association rules and cross-selling and up-selling. Companies make expert use of statistics and modeling to improve a wide variety of functions. In the paper are presented some common applications of business intelligence. As well as successful examples of data mining applied to retail sales, some information is also presented in this work to explain the prospects for the future of retail.pt_PT
dc.identifier.citationCastelo-Branco F., Reis J.L., Vieira J.C., & Cayolla R. (2020). Business Intelligence and Data Mining to Support Sales in Retail. In: Rocha Á., Reis J., & Peter M., Bogdanović Z. (eds.), Marketing and Smart Technologies. Smart Innovation, Systems and Technologies,167. Springer, Singapore. https://doi.org/10.1007/978-981-15-1564-4_38. Disponível no Repositório UPT, http://hdl.handle.net/11328/3732pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-981-15-1564-4_38pt_PT
dc.identifier.isbn978-981-15-1563-7 (Print)
dc.identifier.issn978-981-15-1564-4 (Online)
dc.identifier.urihttp://hdl.handle.net/11328/3732
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rightsrestricted accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectData miningpt_PT
dc.subjectBusiness intelligencept_PT
dc.subjectMarket basket analysispt_PT
dc.subjectSalespt_PT
dc.subjectRetailpt_PT
dc.titleBusiness Intelligence and Data Mining to Support Sales in Retailpt_PT
dc.typeconferenceObjectpt_PT
degois.publication.titleSmart Innovation, Systems and Technologiespt_PT
dspace.entity.typePublicationen
person.affiliation.nameUniversidade Portucalense Infante D. Henrique
person.familyNameCayolla
person.givenNameRicardo
person.identifier.ciencia-idD311-D822-C19A
person.identifier.orcid0000-0003-4015-7363
person.identifier.ridAAL-6739-2020
person.identifier.scopus-author-id56120166100
relation.isAuthorOfPublication99055104-5441-4d13-9368-2e06bb43e870
relation.isAuthorOfPublication.latestForDiscovery99055104-5441-4d13-9368-2e06bb43e870

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