Browsing Student papers by Subject "business analytics"
Now showing items 1-20 of 37
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Analysis of the Demand for Bike Sharing in Oslo with Machine Learning
(Master thesis, 2022)This paper aims to create accurate predictive models for the bike-sharing system operated by Oslo City Bikes. The three different machine learning methods are used to predict user demand within a specified area of Oslo. ... -
Automated Detection of Front Companies: Exploring Machine Learning Potentials and Limitations
(Master thesis, 2023)This project is aimed at understanding the potential and limitations of modern machine learning algorithms in automatically detecting front companies. We employed predictive classification models to analyse a company's ... -
Becoming Mainstream: What Makes You a Digital Nomad?
(Master thesis, 2023)In this fast-paced era, digital nomadism articles dominate social networking platforms, capturing the attention of individuals seeking an alternative to their mundane 9-to-5 lifestyles. While academic studies have explored ... -
Churn Prediction: How Customers' Usage under Contract is Linked to Churn
(Master thesis, 2020)Businesses will always have a certain amount of customers leaving for various reasons, whether it's for another competitor or because their perception of value isn’t met. The concept of churn prediction is based on ... -
Classifying Profitable Customers Vased on Meta Data with Machine Learning
(Master thesis, 2022)The objective of this master's thesis is to explore if a machine learning model can predict sale outcomes from the metadata generated by potential leads as they navigate the company’s website. Additionally, the research ... -
Climbing the ladder of knowledge about drug shortages through business analytics
(Master thesis, 2021)Despite techonological tranformations and innovations, the global supply of drugs has faced increasing difficulties to meet its demand. The resulting deviations have lead to an exponential increase in the number of annualy ... -
A comparatiue study of machine learning models in stock price prediction
(Master thesis, 2023)This thesis predicts one-day ahead adjusted closing price estimates of four different stocks listed at the Oslo Stock Exchange. The prediction uses a rolling window approach, utilizing 60 days of historical adjusted ... -
A Comparative Study in Binary Classification for Loan Eligibility Prediction
(Master thesis, 2021)In this thesis, loan eligibility prediction is explored and analyzed by investigating five different prediction models. The goal for the prediction models is to accurately predict whether a bank loan is approved ... -
Comparison of classical RFM models and Machine learning models in CLV prediction
(Master thesis, 2020)This study analyzes the difference between classical RFM models and Machine Leaning (ML) models when calculating CLV with transactional data. In this paper we run different programs to analyze the CLV value by using ... -
Consumer Debt: Predicting default with machine learning methods
(Master thesis, 2021)The aim of this thesis is to explore if a machine learning model can create value by predicting default at the time of credit application. In extension of this, the thesis will evaluate whether a predictive model can be ... -
Do sports facilities increases activity in sports clubs?
(Master thesis, 2020)Sports and sports activity have been an essential factor in my childhood, and as a grownup, I see the importance of sports activity. In this master thesis, I have investigated how the number of sports facilities affects ... -
Does streaming service help or hurt game companies?
(Master thesis, 2021)With the fast development of technologies, the gaming industry becomes more and more diverse, profitable, and competitive. With the unprecedentedly growing gaming industry, the game streaming industry also expands and ... -
Efficacy & Fairness in eSports Tournament Design
(Master thesis, 2023)Tournaments are mechanisms used to rank alternatives, usually in sporting contests whereby contestants are pitted against in each other in matchups to determine the best contestant. Tournament design is a widely researched ... -
Electronic word of mouth and new releases: An empirical study in video games industry
(Master thesis, 2020)In today's world, product iterations continue to accelerate, new product introduction becomes more and more frequent. Marketers are also utilizing digital marketing tools to realize a more efficient conversion from ... -
An empirical analysis of housing allowance recipients 2010- 2020 and a forecast of the near future
(Master thesis, 2020)This study seeks to identify the attributes of recipients of housing allowance in Norway and formulate an econometric model capable of predicting the inflow of new recipients of housing allowance in the near future. As ... -
Employee Turnover Prediction with Supervised Machine Learning
(Master thesis, 2023)Employee turnover is a pervasive issue faced by organizations across various industries (Korff et al., 2015). When employees decide to leave a company, it not only disrupts daily operations but also imposes costs associated ... -
Exploring the Causal Link between Early Life Experiences and Risk-Taking Behavior: Evidence from Venture Capitalists
(Master thesis, 2023)This master thesis examines the causal relationship between early-life exposure to natural disasters and risk-taking behavior among venture capital investors. Drawing on a comprehensive literature review, we define specific ... -
Exploring the drivers and prediction of fund flow in the Norwegian Bond Fund Market: Deploying classic statistics and machine learning methods
(Master thesis, 2023)This paper aims to analyze the drivers and predict flow of Norwegian bond funds one month in advance using machine learning models and macro variables. The study investigates a sample of 79 bond funds and a subset of medium ... -
False positive reduction endeavors with automated feature engineering
(Master thesis, 2021)Credit card fraud has been a problem for decades, and with the booming trend of online shopping fraud losses expected to rise for every year to come. Fraud detection systems often generate more false positives than true ... -
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 ...