Event processing under uncertainty
Big data is recognized as one of the three technology trends at the leading edge a CEO
cannot afford to overlook in 2012. Big data is characterized by volume, velocity, variety and …
cannot afford to overlook in 2012. Big data is characterized by volume, velocity, variety and …
Learning from the past: automated rule generation for complex event processing
Complex Event Processing (CEP) systems aim at processing large flows of events to
discover situations of interest. In CEP, the processing takes place according to user-defined …
discover situations of interest. In CEP, the processing takes place according to user-defined …
Incremental learning of event definitions with inductive logic programming
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 …
of events in time. Using a logical framework for representing and reasoning about events …
A probabilistic logic programming event calculus
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 …
content. The input of our system is a set of time-stamped short-term activities (STA) detected …
Probabilistic event calculus for event recognition
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 …
application domains, extracting useful information in the form of events, allowing experts or …
Logic-based event recognition
Today's organizations require techniques for automated transformation of their large data
volumes into operational knowledge. This requirement may be addressed by using event …
volumes into operational knowledge. This requirement may be addressed by using event …
On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes 1
Abstract Automatic human Activity Recognition (AR) is an important process for the provision
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
of context-aware services in smart spaces such as voice-controlled smart homes. This paper …
Real-time complex event recognition and reasoning–a logic programming approach
Complex Event Processing (CEP) deals with the analysis of streams of continuously arriving
events, with the goal of identifying instances of predefined meaningful patterns (complex …
events, with the goal of identifying instances of predefined meaningful patterns (complex …
Probabilistic event calculus based on markov logic networks
In this paper, we address the issue of uncertainty in event recognition by extending the
Event Calculus with probabilistic reasoning. Markov Logic Networks are a natural candidate …
Event Calculus with probabilistic reasoning. Markov Logic Networks are a natural candidate …
Learning event detection rules with noise hidden markov models
C Mutschler, M Philippsen - 2012 NASA/ESA Conference on …, 2012 - ieeexplore.ieee.org
Complex Event Processing (CEP) is a popular method to monitor processes in several
contexts, especially when dealing with incidents at distinct points in time. Specific temporal …
contexts, especially when dealing with incidents at distinct points in time. Specific temporal …