With rapid advancement in technology, mobile devices are increasingly becoming the norm. These devices are characterized by their need to operate even when they are disconnected f...
Ioana Stanoi, Divyakant Agrawal, Amr El Abbadi, Sh...
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
A project to enable health care professionals (GPs, practice nurses and diabetes nurse specialists) to access, via the Internet, confidential patient data held on a secondary care...
David W. Chadwick, Carmen Carroll, S. Harvey, John...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...