IFC EDBD/Aims and Scope
Scalable skyline computation using a balanced pivot selection technique
An event-based notification approach for the delivery of patient medical information
Automated runtime repair of business processes
Integrating domain heterogeneous data sources using decomposition aggregation queries
Configuration vs. adaptation for business process variant maintenance: An empirical study
Simplifying process model abstraction: Techniques for generating model names
Compact representation of Web graphs with extended functionality
An event-based platform for collaborative threats detection and monitoring
Optimization issues of querying and evolving sensor and stream databases
Adaptive stratified reservoir sampling over heterogeneous data streams
Supporting historic queries in sensor networks with flash storage
Mining frequent itemsets in a stream
Top-k/w publish/subscribe: A publish/subscribe model for continuous top-k processing over data streams
Detecting and monitoring abrupt emergences and submergences of episodes over data streams
Approximation trade-offs in a Markovian stream warehouse: An empirical study