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» Learning semantic models from event logs
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ACL
2010
14 years 9 months ago
Bootstrapping Semantic Analyzers from Non-Contradictory Texts
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
Ivan Titov, Mikhail Kozhevnikov
IS
2008
14 years 11 months ago
Conformance checking of processes based on monitoring real behavior
Many companies have adopted Process-aware Information Systems (PAIS) to support their business processes in some form. On the one hand these systems typically log events (e.g., in ...
Anne Rozinat, Wil M. P. van der Aalst
AI
2007
Springer
14 years 11 months ago
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
Asaad Hakeem, Mubarak Shah
102
Voted
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
15 years 11 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
103
Voted
ICASSP
2011
IEEE
14 years 2 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...