We propose a new parallel performance visualization scheme, based on a simple moment analysis of processor utilization data. This method combines the scalability advantages of sta...
This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...
Our experimental analysis of several popular XPath processors reveals a striking fact: Query evaluation in each of the systems requires time exponential in the size of queries in ...
— This paper presents a study of the learning process in a distance collaborative learning environment with a chat system and a Wiki, and development of a new chat system based o...
In the paper, we suggest a set of visualization-based exploratory tools to support analysis and comparison of different spatial development scenarios, such as results of simulatio...
Natalia V. Andrienko, Gennady L. Andrienko, Peter ...