Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …

Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …

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 …

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 …

Stream data are often dirty, for example, owing to unreliable sensor reading, or erroneous
extraction of stock prices. Most stream data cleaning approaches employ a smoothing filter …

Large-scale event systems are becoming increasingly popular in a variety of domains. Event
pattern evaluation plays a key role in monitoring applications in these domains. Existing …

With the Internet of Multimedia Things (IoMT) becoming a reality, new approaches are
needed to process real-time multimodal event streams. Existing approaches to event …

Sequential pattern matching to detect a user-defined sequence of conditions on event
streams is a key feature in modern event processing systems. However, the sequential …

Many modern applications, including online financial feeds, tag-based mass transit systems
and RFID-based supply chain management systems transmit real-time data streams. There …

State-of-the-art Complex Event Processing technology (CEP), while effective for pattern
query execution, is limited in its capability of reacting to opportunities and risks detected by …