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http://hdl.handle.net/10609/84605
Title: Machine learning techniques for computational marketing into energy sector
Author: Rius Carmona, Miquel
Director: Vallada Regalado, Eva
Juan Pérez, Ángel Alejandro
Keywords: artificial intelligence
computational marketing
algorithms
energy sector
Issue Date: Sep-2018
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Language: English
URI: http://hdl.handle.net/10609/84605
Appears in Collections:Bachelor thesis, research projects, etc.

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File Description SizeFormat 
TFM_Rius_Carmona_Miquel.zipWinrar file with sql scripts, python source code, and memory of the project.21.26 MBWinrarView/Open
mriuscaTFM0918memory.pdfMemoria del TFM3.14 MBAdobe PDFView/Open

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