Machine learning techniques for computational marketing into energy sector
This project presents a complete methodology with a software tool to improve the product generation process within energy marketers in the spanish sector. The software uses machine learning techniques applied into computational marketing concepts to achieve the best fitting product for a customer. I...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Oberta de Catalunya (UOC) |
| Repositorio: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/84605 |
| Acceso en línea: | http://hdl.handle.net/10609/84605 |
| Access Level: | acceso abierto |
| Palabra clave: | artificial intelligence computational marketing algorithms energy sector algorismes intel·ligència artificial mercat informàtic sector energètic sector energético inteligencia artificial mercado informático algoritmos Artificial intelligence -- TFM Intel·ligència artificial -- TFM Inteligencia artificial -- TFM |
| Sumario: | This project presents a complete methodology with a software tool to improve the product generation process within energy marketers in the spanish sector. The software uses machine learning techniques applied into computational marketing concepts to achieve the best fitting product for a customer. It has been developed using Python, PostgreSQL, and Docker. |
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