Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
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 apply...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2018
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/16227 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/16227 |