Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/62767
Título: | A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing |
Autor(es): | Moro, Sergio Cortez, Paulo Rita, Paulo |
Palavras-chave: | banking data mining divide and conquer feature selection marketing |
Data: | 2018 |
Editora: | Wiley |
Revista: | Expert Systems |
Resumo(s): | The discovery of knowledge through data mining provides a valuable asset for addressing decision making problems. Although a list of features may characterize a problem, it is often the case that a subset of those features may influence more a certain group of events constituting a sub-problem within the original problem. We propose a divide-and-conquer strategy for data mining using both the data-based sensitivity analysis for extracting feature relevance and expert evaluation for splitting the problem of characterizing telemarketing contacts to sell bank deposits. As a result, the call direction (inbound/outbound) was considered the most suitable candidate feature. The inbound telemarketing sub-problem re-evaluation led to a large increase in targeting performance, confirming the benefits of such approach and considering the importance of telemarketing for business, in particular in bank marketing. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/62767 |
DOI: | 10.1111/exsy.12253 |
ISSN: | 0266-4720 |
Versão da editora: | https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.12253 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ES-MoroCortezRita-PosPrint.pdf | Author's Accepted Manuscript | 766,83 kB | Adobe PDF | Ver/Abrir |