Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
In this paper we address the issue of developing an interoperable infrastructure for language resources and technologies. In our approach, called UFRA, we extend the Federate Data...
Riccardo Del Gratta, Roberto Bartolini, Tommaso Ca...
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
While networking technology facilitates the use of online services such as real-time instant messaging and anywhere-anytime multiplayer gaming, societal and ethical issues can inf...