Currently the key problems of query optimization are extensibility imposed by object-relational technology, as well as query complexity caused by forthcoming applications, such as...
In recent years, systems for processing environmental information have been evolving from research and development systems to practical applications. Today, many of these systems ...
Franz Josef Radermacher, Wolf-Fritz Riekert, Bernd...
We address the problem of finding parallel plans for SQL queries using the two-phase approach of join ordering followed by parallelization. We focus on the parallelization phase a...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
The relationship between two well established formalisms for temporal reasoning is first investigated, namely between Allen's interval algebra (or Allen's temporal logic,...