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» Learning semantic models from event logs
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ISVC
2007
Springer
15 years 9 months ago
Building Petri Nets from Video Event Ontologies
Video event understanding requires a formalism that can model complex logical temporal and spatial relations between composing sub-events. In this paper we argue that the Petri-Net...
Gal Lavee, Artyom Borzin, Ehud Rivlin, Michael Rud...
AIED
2005
Springer
15 years 9 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
BPM
2009
Springer
168views Business» more  BPM 2009»
15 years 10 months ago
Divide-and-Conquer Strategies for Process Mining
The goal of Process Mining is to extract process models from logs of a system. Among the possible models to represent a process, Petri nets is an ideal candidate due to its graphic...
Josep Carmona, Jordi Cortadella, Michael Kishinevs...
ICASSP
2010
IEEE
15 years 3 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui
128
Voted
DLOG
2009
15 years 1 months ago
What Happened to Bob? Semantic Data Mining of Context Histories
We report on event recognition within the life logging application IYOUIT for the automatic creation of static diary-like Blogs. Based on the qualitative context histories produced...
Michael Wessel, Marko Luther, Ralf Möller