EDBT Research Session 9: Stream Processing
Date/Time
- Wednesday, March 25, 11:00—12:30h
- Room B
Papers
- Scalable Stream Join Processing with Expensive Predicates: Workload Distribution and Adaptation by Time-Slicing
Song Wang and Elke Rundensteiner - Indexing Density Models for Incremental Learning and Anytime Classification on Data Streams
Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, and Jennifer Herrmann - Exploiting the Power of Relational Databases for Efficient Stream Processing
Erietta Liarou, Romulo Goncalves, and Stratos Idreos