Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Structured P2P systems in the form of distributed hash tables (DHT) are a promising approach for building massively distributed data management platforms. However, for many applic...
Despite much research in the area of wireless sensor networks in recent years, the programming of sensor nodes is still time-consuming and tedious. A new paradigm which seems to b...
Christoph Reinke, Nils Hoeller, Jana Neumann, Sven...
Translating data and data access operations between applications and databases is a longstanding data management problem. We present a novel approach to this problem, in which the...