A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features
The need to leverage knowledge through data mining has driven enterprises in a demand for more data. However, there is a gap between the availability of data and the application of extracted knowledge for improving decision support. In fact, more data do not necessarily imply better predictive data-...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2018
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/15400 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/15400 |