Complex event recognition (CER) applications exhibit various types of uncertainty, ranging
from incomplete and erroneous data streams to imperfect complex event patterns. We …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems:
Complex Event Recognition Languages Page 1 Tutorial: Complex Event Recognition Languages …

Systems for symbolic event recognition accept as input a stream of time-stamped events
from sensors and other computational devices, and seek to identify high-level composite …

We address the problem of engineering self-organizing electronic institutions for resource
allocation in open, embedded, and resource-constrained systems. In such systems, there is …

Event recognition systems rely on knowledge bases of event definitions to infer occurrences
of events in time. Using a logical framework for representing and reasoning about events …

This paper presents a framework to build home automation systems reactive to voice for
improved comfort and autonomy at home. The focus of this paper is on the context-aware …

We present a system for recognising human activity given a symbolic representation of video
content. The input of our system is a set of time-stamped short-term activities (STA) detected …

Symbolic event recognition systems have been successfully applied to a variety of
application domains, extracting useful information in the form of events, allowing experts or …

Process mining is a rapidly developing field that aims at automated modeling of business
processes based on data coming from event logs. In recent years, advances in tracking …