DNA methylation comprises a cumulative record of lifetime exposures superimposed on
genetically determined markers. Little is known about methylation dynamics in humans …

Ship trajectory data extracted from Automatic Identification System (AIS) has been
extensively used for maritime traffic analysis. Yet the enormous volume of AIS data has …

The rise of audio-as-data in social science research accentuates a fundamental challenge:
establishing reproducible and reliable methodologies to guide this emerging area of study …

This paper describes and evaluates the educational interest of LearningRlab, an
educational R package developed for teaching statistics in computer science engineering …

Unsupervised clustering has emerged as a critical tool for uncovering hidden patterns and
insights from vast, unlabeled datasets. However, traditional methods like Partitioning Around …

Due to the relevant penetration of solar PV power plants, an accurate power generation
forecasting of these installations is crucial to provide both reliability and stability of current …

A challenge faced while monitoring the COVID-19 pandemic in Brazil is the identification of
patterns of incidence and mortality, which can help prioritize interventions to avoid excessive …

Interpretable classification of time series presents significant challenges in high dimensions.
Traditional feature selection methods in the frequency domain often assume sparsity in …

Mining of GPS trajectories of moving vehicles and devices can provide valuable insights into
urban systems, planning and operational applications. Understanding object motion often …

How can we extract meaningful knowledge from massive amounts of data? The data mining
group at University of Vienna contributes novel methods for exploratory data analysis. Our …