Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
Experiences of intimacy and connectedness through social networks are vital to human sense of well-being. We live in an electronic habitat. Electronic mail functions as a medium o...
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Despite the ubiquity of computers and on-line documents, paper persists. As physical objects, paper documents are easy to use, flexible, portable and are difficult to replace. Eve...
We perform knowledge discovery in software archives in order to detect refactorings on the level of classes and methods. Our REFVIS prototype finds these refactorings in CVS repo...