A key problem in software engineering is changing the code. We present a sequence of visualizations and visual metaphors designed to help engineers understand and manage the softw...
Stephen G. Eick, Todd L. Graves, Alan F. Karr, Aud...
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Although approximate query processing is a prominent way to cope with the requirements of data analysis applications, current database systems do not provide integrated and compre...
In this paper, we describe an approach to boosting the performance of an XQuery engine by identifying and exploiting opportunities to share processing both within and across XML qu...
Yanlei Diao, Daniela Florescu, Donald Kossmann, Mi...
In the CLear project we develop a cooperative learning system for supporting learning and training processes of co-located and distributed groups. One of the fundamental concepts o...