This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic rate process can be predicted with bounded error; (2) w...
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Wikis are currently used in business to provide knowledge management systems, especially for individual organizations. However, building wikis manually is a laborious and time-con...
UN/CEFACT’s Modeling Methodology (UMM) is a UML profile for modeling global B2B choreographies. The basic building blocks of UMM are business transactions, which describe the e...
Birgit Hofreiter, Christian Huemer, Philipp Liegl,...