Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
This short paper is aimed to discuss the challenges for location-based services and proposes our framework, which makes it possible to obtain information from heterogeneous sources...
Information ubiquity has created a large crowd of users (most notably scientists), who could employ DBMS technology to process and share their data more effectively. Still, this ...
: Sharing health data for research purposes across data custodian boundaries poses technical, organisational and ethical challenges. We describe a service oriented architecture for...
Kerry L. Taylor, Christine M. O'Keefe, John Colton...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...