A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules...
Cane Wing-ki Leung, Ee-Peng Lim, David Lo, Jianshu...
SimVis is a novel technology for the interactive visual analysis of large and complex flow data which results from Computational Fluid Dynamics (CFD) simulation. The new technolo...
The paper describes a technique to generate high-quality light field representations from volumetric data. We show how light field galleries can be created to give unexperienced a...