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Descrição Detalhada da Publicação
A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing
Título Revista
Expert Systems
Ano (publicação definitiva)
2018
Língua
Inglês
País
Estados Unidos da América
Mais Informação
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Web of Science®
Scopus
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Abstract/Resumo
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.
Agradecimentos/Acknowledgements
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Palavras-chave
Banking,Data mining,Divide and conquer,Feature selection,Marketing
Classificação Fields of Science and Technology
- Ciências da Computação e da Informação - Ciências Naturais
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
---|---|
UID/MULTI/0446/2013 | Fundação para a Ciência e a Tecnologia |
UID/PSI/03125/2013 | Fundação para a Ciência e a Tecnologia |