Important design problems are raised in developing software for amateur users, a group distinguished here from novices. The authors argue that these design problems can be approac...
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
In many distributed computing paradigms, especially sensor networks and ubiquitous computing but also grid computing and web services, programmers commonly tie their application to...
Jonathan J. Davies, Alastair R. Beresford, Alan My...
We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a...
David H. Stern, Horst Samulowitz, Ralf Herbrich, T...
Large amounts of time-varying datasets create great challenges for users to understand and explore them. This paper proposes an efficient visualization method for observing overal...