Predição de comportamento de usuários oriundos do marketing digital por meio de redes neurais artificiais e aprendizado supervisionado
Success in attracting customers using marketing techniques creates a billionare problem wich is one of the most difficult that is selecting among the many prospects, which are more likely to become a customer. This work uses artificial neural networks to analyze the dataset generated from digital ma...
| Autor principal: | ALVES, Vitor Pinheiro |
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| Grau: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Pará
2020
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| Acesso em linha: |
http://repositorio.ufpa.br:8080/jspui/handle/2011/12788 |
| Resumo: |
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Success in attracting customers using marketing techniques creates a billionare problem wich is one of the most difficult that is selecting among the many prospects, which are more likely to become a customer. This work uses artificial neural networks to analyze the dataset generated from digital marketig techniques and classify which prospects have a greater chance to become a customer and which ones should be discarded. The Neural Network scores approximately 70% of cases among 3,541 records processed. |