Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Programming distributed data-intensive web and mobile applications is gratuitously hard. As the world is moving more and more towards the software as services model, we have to co...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
A widely-distributed network monitoring system requires a scalable discovery mechanism. The “Lookup Service” component of the perfSONAR framework is able to manage component r...
Jason Zurawski, Jeff W. Boote, Eric L. Boyd, Macie...
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...