Experiments in high-energy astroparticle physics produce large amounts of data as continuous high-volume streams. Gaining insights from the observed data poses a number of challeng...
Abstract. Mining evolving datastreams raises the question how to extrapolate trends in the evolution of densities over time. While approaches for change diagnosis work well for int...
The analysis of human activity data is an important research area in the context of ubiquitous and social environments. Using sensor data obtained by mobile devices, e. g., utilizi...
Martin Atzmueller, Mark Kibanov, Naveed Hayat, Mat...
Random walk with restart (RWR) is widely recognized as one of the most important node proximity measures for graphs, as it captures the holistic graph structure and is robust to no...
An important problem in multi-label classification is to capture label patterns or underlying structures that have an impact on such patterns. One way of learning underlying struc...