This study explores the relationship between gamification design features and the
motivational state of inspiration in the context of eLearning. We focus on three dimensions of …

Country risk, encompassing political, economic, and financial dimensions, represents a
burgeoning area of research in contemporary academia. However, its relation with energy …

Outlier detection is essential for identifying patterns that deviate from expected normal
representations in data. Real-world challenges such as the lack of labeled data, noise, and …

Similarity measurement takes on critical significance in strategies that seek similar stocks
based on historical data to make predictions. Stock data refers to a multidimensional time …

Background: Open Access Proceeding Paper Multi-Objective Optimisation for the Selection
of Clusterings across Time† by Sergej Korlakov 1,*,‡, Gerhard Klassen 2,*,‡, Luca T. Bauer …

Meeting the expectations of customers is vital for service providers. Against this background,
we explore the use of gamification to enhance information sharing possibly enabling a better …

In mining stock price change patterns from historical data using similarity measures, the
choice of similarity metrics is critical. Stock data is a multidimensional financial time series …

This degree project aims to investigate different evaluation strategies for clustering methods
used to cluster multivariate financial time series. Clustering is a type of data mining …

Due to the increasing amount of data collected in various domains, the field of data mining
focusing on the automated information extraction from data, becomes increasingly important …