Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/99139
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DC Field | Value | Language |
---|---|---|
dc.creator | Vera L. Miguéis | |
dc.creator | A. S. Camanho | |
dc.creator | João Falcão e Cunha | |
dc.date.accessioned | 2019-02-08T15:22:48Z | - |
dc.date.available | 2019-02-08T15:22:48Z | - |
dc.date.issued | 2012 | |
dc.identifier.issn | 0957-4174 | |
dc.identifier.other | sigarra:62024 | |
dc.identifier.uri | https://repositorio-aberto.up.pt/handle/10216/99139 | - |
dc.description.abstract | A good relationship between companies and customers is a crucial factor of competitiveness. Market segmentation is a key issue for companies to develop and maintain loyal relationships with customers as well as to promote the increase of company sales. This paper proposes a method for market segmentation in retailing based on customers' lifestyle, supported by information extracted from a large transactional database. A set of typical shopping baskets are mined from the database, using a variable clustering algorithm, and these are used to infer customers lifestyle. Customers are assigned to a lifestyle segment based on their purchases history. This study is done in collaboration with an European retailing company. | |
dc.language.iso | eng | |
dc.rights | restrictedAccess | |
dc.subject | Economia e gestão | |
dc.subject | Economics and Business | |
dc.title | Customer data mining for lifestyle segmentation | |
dc.type | Artigo em Revista Científica Internacional | |
dc.contributor.uporto | Faculdade de Engenharia | |
dc.identifier.doi | 10.1016/j.eswa.2012.02.133 | |
dc.identifier.authenticus | P-002-7TE | |
dc.subject.fos | Ciências sociais::Economia e gestão | |
dc.subject.fos | Social sciences::Economics and Business | |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
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62024.pdf Restricted Access | 1.21 MB | Adobe PDF | Request a copy from the Author(s) |
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