We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
The lack of structured methodologies and software engineering efforts on designing the support of contextawareness in pervasive systems hinders the potential advantages of analyzi...
Oriana Riva, Cristiano di Flora, Stefano Russo, Ki...
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, ...
Frameworks and Patterns are important instruments that enable the reuse of successful software solutions in recurrent problems. Geographic information systems, on the other hand, ...
Abstract. The following problem will be considered: from scattered examples on the behavior of a dynamic system induce a description of the system. For the induced description to b...