Due to the problems of heterogeneous data and platforms, abundant functional and QoS requirements, high data size, and tangling correlation between data/contents and software func...
Shih-Hsi Liu, Yu Cao, Ming Li, Pranay Kilaru, Thel...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
The Midimew network is an excellent contender for implementing the communication subsystem of a high performance computer. This network is an optimal 2D topology in the sense ther...
The purpose of this paper is to study the problem of pattern classification as this is presented in the context of data mining. Among the various approaches we focus on the use of ...
Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanak...
: Experience Management (EM) is an area that is increasingly gaining importance. Its roots lie in Experimental Software Engineering ("Experience Factory"), in Artificial ...
Andreas Jedlitschka, Klaus-Dieter Althoff, Bjö...