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» Learning semantic models from event logs
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DEBU
2008
104views more  DEBU 2008»
14 years 11 months ago
Process Mining in Web Services: The WebSphere Case
Process mining has emerged as a way to discover or check the conformance of processes based on event logs. This enables organizations to learn from processes as they really take p...
Wil M. P. van der Aalst, H. M. W. (Eric) Verbeek
CONCUR
2004
Springer
15 years 4 months ago
Probabilistic Event Structures and Domains
Abstract. This paper studies how to adjoin probability to event structures, leading to the model of probabilistic event structures. In their simplest form probabilistic choice is l...
Daniele Varacca, Hagen Völzer, Glynn Winskel
ICECCS
2010
IEEE
153views Hardware» more  ICECCS 2010»
14 years 11 months ago
Patterns for Modelling Time and Consistency in Business Information Systems
Abstract— Maintaining semantic consistency of data is a significant problem in distributed information systems, particularly those on which a business may depend. Our current wo...
Jeremy W. Bryans, John S. Fitzgerald, Alexander Ro...
TIP
2008
169views more  TIP 2008»
14 years 11 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
CIKM
2009
Springer
15 years 5 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...