Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/16227
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Barraza, N. | - |
dc.contributor.author | Moro, S. | - |
dc.contributor.author | Ferreyra, M. | - |
dc.contributor.author | de la Peña, A. | - |
dc.date.accessioned | 2018-06-27T09:39:17Z | - |
dc.date.available | 2018-06-27T09:39:17Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 0165-5515 | - |
dc.identifier.uri | http://hdl.handle.net/10071/16227 | - |
dc.description | WOS:000454945400004 | - |
dc.description.abstract | Feature selection is a highly relevant task in any data-driven knowledge discovery project. The present research focuses on analysing the advantages and disadvantages of using mutual information (MI) and data-based sensitivity analysis (DSA) for feature selection in classification problems, by applying both to a bank telemarketing case. A logistic regression model is built on the tuned set of features identified by each of the two techniques as the most influencing set of features on the success of a telemarketing contact, in a total of 13 features for MI and 9 for DSA. The latter performs better for lower values of false positives while the former is slightly better for a higher false-positive ratio. Thus, MI becomes a better choice if the intention is reducing slightly the cost of contacts without risking losing a high number of successes. However, DSA achieved good prediction results with less features. | eng |
dc.language.iso | eng | - |
dc.publisher | SAGE | - |
dc.relation | 32/15 201 | - |
dc.relation | UID/MULTI/0446/2013 | - |
dc.rights | openAccess | por |
dc.subject | Customer targeting | eng |
dc.subject | Direct marketing | eng |
dc.subject | Feature selection | eng |
dc.subject | Modelling | eng |
dc.subject | Mutual information | eng |
dc.subject | Sensitivity analysis | eng |
dc.title | Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study | eng |
dc.type | article | - |
dc.event.date | 2019 | - |
dc.pagination | 53 - 67 | - |
dc.peerreviewed | yes | - |
dc.journal | Journal of Information Science | - |
dc.volume | 45 | - |
dc.number | 1 | - |
degois.publication.firstPage | 53 | - |
degois.publication.lastPage | 67 | - |
degois.publication.issue | 1 | - |
degois.publication.title | Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study | eng |
dc.date.updated | 2019-01-15T12:30:55Z | - |
dc.description.version | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.doi | 10.1177/0165551518770967 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Ciências da Comunicação | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-47377 | - |
iscte.alternateIdentifiers.wos | WOS:000454945400004 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-85047409670 | - |
Aparece nas coleções: | ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2018-JIS-BarrazaMoroEtAl-PosPrint.pdf | Pós-print | 677,99 kB | Adobe PDF | Ver/Abrir |
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