Blar i Master of Science på emneord "business analytics"
Viser treff 21-37 av 37
-
Forecasting Norwegian Mainland Gross Domestic Product : Using Deep Learning Algorithms
(Master thesis, 2022)Gross domestic product is a measure of overall economic activity. It is therefore regarded as one of the most important summary factors for understanding the economic state of a country. Hence, an accurate prediction of ... -
How to Determine the Optimal Procurement Plan, with the Objective of Maximizing the Total Profit Using a Mathematical Optimization Model : A case study for a large Norwegian furniture manufacturer
(Master thesis, 2022)The Norwegian furniture industry has a strong position in Norway and produces about 30 percent of products sold in this country, employed 5,000 people (in 2018) and there are about 450 companies registered. The companies ... -
Latent Dirichlet Allocation-based method and Cosine Similarity: Aligning Research Publications with the United Nations’ Sustainable Development Goals
(Master thesis, 2022)According to the United Nations Statistics Division (2021) the development of the Sustainable Development Goals is running behind schedule. Higher education plays a significant role in prioritising and implementing ... -
Optimal Allocation of Electric Vehicle Charging Stations: A case study of the Norwegian road network
(Master thesis, 2021)Allocating fast charging stations for electric vehicles will be an impor- tant component for ensuring the adoption of electric vehicles. This thesis proposes a framework for ensuring reachability, meaning that all parts ... -
Optimal Location of Electric Vehicle Charging Stations in Norway using the Flow refueling Location Model
(Master thesis, 2022)This thesis investigates optimal locations for charging stations across the road network of Norway. To solve this problem, we deploy a flow-refueling location model, which considers the optimal locations based on traffic ... -
Optimal offshore installation of floating wind turbines, using Mixed-Integer Linear Programming with AMPL
(Master thesis, 2022)The demand for renewable energy in Europe is increasing. The largest potential is offshore wind energy where future wind farms consist of floating wind turbines. The wind is stronger at sea and the floating wind turbines ... -
OPTIMISING MACHINE LEARNING TECHNIQUES: AUTOFLEX - AN AUTOML APPROACH
(Master thesis, 2023)Automated Machine Learning (AutoML) has emerged as a promising solution to tackle the challenges of algorithm selection, hyperparameter optimisation, feature engineering, scalability, and interpretability in ML tasks. This ... -
Optimising Personnel Rostering Through Mixed Integer Linear Programming
(Master thesis, 2023)Personnel planning is an important component of business management. Improved personnel planning can lead to more satisfied employees and decreased personnel costs. This thesis explores how mixed integer linear programming ... -
Predicting Default Loans using Machine Learning
(Master thesis, 2023)This thesis aims to determine whether machine learning algorithms effectively predict default loans and which machine learning algorithms are better performers than others. The research started by gathering information ... -
Reducing food waste in the poultry industry by addressing the challenge of supply chain aging
(Master thesis, 2022)The consumer-packed good industry is facing significant challenges of reducing vast amounts of food waste along its entire supply chain. Throughout the last few years, the food industry, consumers, and politics have become ... -
Reducing food waste in the poultry industry by addressing the challenge of supply chain aging
(Master thesis, 2022)The consumer-packed good industry is facing significant challenges of reducing vast amounts of food waste along its entire supply chain. Throughout the last few years, the food industry, consumers, and politics have become ... -
Risk modelling and Optimization of Hedging Strategy for a Norwegian Hydropower Producer
(Master thesis, 2022)Presented in collaboration with Hafslund Eco, this thesis examines the process of decision making for a Norwegian hydropower producer over the medium term. As part of this process, risk modelling and optimization of the ... -
The Social Cost of Carbon from Permafrost Infrastructure Damage and Carbon Feedback Under Climate Change
(Master thesis, 2021)This research determined the Social Cost of Carbon (SCC) from the combined module comprising permafrost infrastructure damage and carbon feedback under climate change. Climate change is a crisis that requires international ... -
Stoel! Return Prediction with Sentiment Analysis of Twitter Data
(Master thesis, 2022)We attempt to make improvements to stock return prediction accuracy through sentiment analysis of Twitter data. Our hypothesis is that Twitter users mainly consists of retail investors, implying that the aggregation of ... -
Towards Improved Bankruptcy Prediction: Utilizing Variational Autoencoder Latent Representations in a Norwegian Context
(Preprint, 2023)This thesis conducts a rigorous examination of the potential for Variational Autoencoder (VAE)-derived latent embeddings to enhance the performance of classification algorithms when assessing business risk profiles from ... -
Urban flooding in Oslo – Insurance claims and heavy rainfall
(Master thesis, 2022)Urban flooding events and damages to private and public buildings and infrastructure is expected to increase due to higher frequency of heavy rainfall. Even if all countries were to fulfill their declared reductions in ... -
Using Bayesian Linear Models and Deep Neural Networks for Decomposing the Performance Effect of Promotion
(Master thesis, 2022)Price promotions can drive up short-term sales substantially. To establish whether and how a business can truly benefit from a price promotion bump, previous research has proposed multivariate linear regression models ...