—When comparing clustering results, any evaluation metric breaks down the available information to a single number. However, a lot of evaluation metrics are around, that are not ...
Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel...
We consider decentralized multiantenna cognitive radio networks where the secondary (cognitive) users are granted simultaneous spectrum access along with the license-holding (prima...
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
We describe a true-concurrent approach for managing dependencies between distributed and concurrent coordinator components of a long-running transaction. In previous work we have ...
Sotiris Moschoyiannis, Amir R. Razavi, Paul J. Kra...
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
A scenario can be used to describe a possible instantiation of a given business use case and can be expressed for example as a list of steps written in natural language, or by an ...
This paper proposes a support tool for designers who have realized the potential benefits of using a scenario-based approach, yet need a more concrete guidance for its implementati...
There exist distributed scenarios in which the need for dynamism, mobility, and adaptivity, has to be addressed with highly dynamical approaches. These scenarios present different ...
Mobile computing systems provide new challenges for verification. One of them is the dynamicity of the system structure, with mobility-induced connections and disconnections, dynam...
Most spreadsheets, like other software, change over time. A frequently occurring scenario is the repeated reuse and adaptation of spreadsheets from one project to another. If seve...