Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/84605
Title: | Machine learning techniques for computational marketing into energy sector |
Author: | Rius Carmona, Miquel |
Tutor: | Vallada Regalado, Eva Juan, Angel A. |
Abstract: | 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. |
Keywords: | artificial intelligence computational marketing algorithms energy sector |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Sep-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
TFM_Rius_Carmona_Miquel.zip | Winrar file with sql scripts, python source code, and memory of the project. | 21,26 MB | Winrar | View/Open |
mriuscaTFM0918memory.pdf | Memoria del TFM | 3,14 MB | Adobe PDF | View/Open |
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