Data Stream SystemsDSS use cost models to determine if a DSS can cope with a given workload and to optimize query graphs. However, certain relevant input ...

Abstract. Data Stream Systems (DSSs) use cost models to determine if a DSS can cope with a given workload and to optimize query graphs. However, certain.

In this paper, we describe a method that supports selectivity estimation considering input streams' attribute value distribution. The novelty of our approach is ...

In this paper, we describe a method that supports selectivity estimation considering input streams' attribute value distribution. The novelty of our approach is ...

Propagation of Densities of Streaming Data within Query Graphs ; Publication Language: English ; Publication Type: Conference contribution, Original article.

Data Stream SystemsDSS use cost models to determine if a DSS can cope with a given workload and to optimize query graphs. However, certain relevant input ...

Propagation of densities of streaming data within query graphs. M Daum, F Lauterwald, P Baumgärtel, K Meyer-Wegener. Scientific and Statistical Database ...

Each such algorithm is parametrized by (1) space complexity (space used by a data structure that maintains a graph being up- dated), (2) update time (time to ...

We propose a sound and complete stream reasoning algorithm that is applicable to forward-propagating programs, in which propagation of derived information ...

In this paper, we present a practical frame- work for which a non-expert can perform differentially pri- vate operations on data streams. The system is built as ...