Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
Simulations and experiments in the fusion and plasma physics community generate large datasets at remote sites. Visualization and analysis of these datasets are difficult because ...