Master Thesis Online
Master thesis : Seasonality analysis for time-series forecasting applied to gamblers
Duquenne, Andreas 
Promotor(s) :
Ernst, Damien
Date of defense : 5-Sep-2022/6-Sep-2022 • Permalink : http://hdl.handle.net/2268.2/16004
Details
| Title : | Master thesis : Seasonality analysis for time-series forecasting applied to gamblers |
| Translated title : | [fr] Analyse de la saisonnalité pour la prévision des séries chronologiques appliquée aux joueurs |
| Author : | Duquenne, Andreas
|
| Date of defense : | 5-Sep-2022/6-Sep-2022 |
| Advisor(s) : | Ernst, Damien
|
| Committee's member(s) : | Drion, Guillaume
Louppe, Gilles
Geurts, Pierre
|
| Language : | English |
| Number of pages : | 49 |
| Keywords : | [fr] Time series analysis |
| Discipline(s) : | Engineering, computing & technology > Computer science |
| Name of the research project : | Seasonality analysis for time-series forecasting applied to gamblers |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master : ingénieur civil en science des données, à finalité spécialisée |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[fr] In the world of economics, many interesting measures vary over time. Some of these measures, such as
inventories or affluence measures, are essential to the proper functioning of these same companies. Being able
to predict them in advance allows a better understanding of the company’s functioning, a better management,
and thus, more important profits. In this study, we focus on the prediction of player activity on a gambling
site.
File(s)
Document(s)
Andreas_Duquenne_TFE(1).pdf
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Format: Adobe PDF
Cite this master thesis
APA
Duquenne, A. (2022). Master thesis : Seasonality analysis for time-series forecasting applied to gamblers. (Unpublished master's thesis). Université de Liège, Liège, Belgique. Retrieved from https://matheo.uliege.be/handle/2268.2/16004
Chicago
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.