TSPO: an autoML approach to time series forecasting

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics

Bibliographic Details
Main Author: Dahl, Siem Morten Johannes (author)
Format: masterThesis
Language:eng
Published: 2020
Subjects:
Time Series Forecasting
Genetic Algorithms
Machine Learning
Time Series Decomposition
Time Series Cross-Validation
Hyper-parameter Optimisation
Time Series Feature Engineering
autoML
Previsão de séries temporais
Algoritmos genéticos
Aprendizagem automática
Decomposição de séries temporais
Validação e otimização de parâmetros
Engenharia de características de séries temporais
Online Access:http://hdl.handle.net/10362/106500
Country:Portugal
Oai:oai:run.unl.pt:10362/106500
Description
Summary:Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics

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