Abstract. Periodic pattern mining is the problem that regards temporal regularity. There are many emerging applications in periodic pattern mining, including web usage recommendati...
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Abstract. We describe a consistent splitting approach to the pressurestabilized Petrov-Galerkin finite element method for incompressible flow. The splitting leads to (almost) exp...
Abstract: Recently, Distributed Hash Tables evolved to a preferred approach for decentralized data management in widely distributed systems. Due to their crucial characteristics ...
Tobias Heer, Heiko Niedermayer, Leo Petrak, Simon ...
: This paper addresses some classical problems to integrate data sources that are heterogeneous in structure with possibly redundant data along a real world example integrating thr...
Patrick Lehti, Peter Fankhauser, Silvia von Stacke...