Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
We describe a method for computing closed sets with data-dependent constraints. Especially, we show how the method can be adapted to find frequent closed sets in a given data set...
Set expansion refers to expanding a given partial set of objects into a more complete set. A well-known example system that does set expansion using the web is Google Sets. In thi...
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
The organization and mining of malaria genomic and post-genomic data is important to significantly increase the knowledge of the biology of its causative agents, and is motivated,...
L.-M. Birkholtz, Olivier Bastien, G. Wells, D. Gra...