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Evaluating the state and future prospects of gender balance and gender equality at a case company
(2022)
The objective of this master’s thesis is to examine the state and the future prospects of gender representation and gender’s impact on career development in a case company. The thesis consists of quantitative empirical ...
AutoML performance in model fitting : a comparative study of selected machine learning competitions in 2012-2019
(2022)
AutoML (automated machine learning) offers multiple benefits to the user. It can create a very powerful model without any interactions or technical expertise. The focus of the thesis is to benchmark four open-source AutoML ...
Process mining for breast cancer patients’ clinical pathway : a case study at Helsinki University Hospital
(2022)
Process mining is an emerging discipline that can be used for data-driven analysis of real-world processes. This master’s thesis aims to recognize how process mining is currently applied in healthcare analytics, harness ...
Intelligent financial distress prediction : recent contributions and their response to the problems of classic prediction methodologies
(2021)
This thesis examines current trends in the intelligent financial distress prediction field, and how recently published studies respond to the problems in classic financial distress prediction methodologies. Financial ...
Real estate insurance claims prediction with machine learning algorithms
(2022)
Nowadays insurance companies are increasingly implementing machine learning algorithms in their business routine. An ability to determine beforehand an emergence of claims could offer a tool to increase a profitability of ...
Supervised feature selection methods for default prediction in P2P lending
(2020)
The purpose of this thesis is to investigate the performance of different feature selection (FS) methods in P2P lending default prediction. The tested FS methods include maximum-relevance-minimum-redundancy (MRMR) approach, ...
Utilization of personalization in marketing automation and email marketing
(2020)
The utilization of personalization in marketing automation and email marketing is yet to be studied meticulously. The purpose of the paper is to build on existing literature and examine on how marketers practice the ...
Applying machine learning in predicting gross domestic savings : the case of Finland
(2020)
The main objective of this quantitative study is to predict gross domestic savings in Finland with the help of machine learning algorithms. Machine learning-based models and the traditional time-series model were assessed ...
Pairs trading revisited : the case of OMX Helsinki
(2020)
This thesis examines pairs trading opportunities in OMX Helsinki Stock Exchange. Pairs trading is a self-financing trading strategy, where trader enters a long position and offsetting short position simultaneously in two ...
Pairs trading : an application of pairs selection and outranking in Norwegian stock market
(2020)
Statistical arbitrage is a known research topic with a wide body of research with various methodologies to apply. Pairs trading is a part of statistical arbitrage research, where the purpose is to identify co-moving assets ...