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AIMDM
1999
Springer
15 years 2 months ago
Knowledge-Based Event Detection in Complex Time Series Data
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...
Jim Hunter, Neil McIntosh
DAWAK
2004
Springer
15 years 1 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
COLING
2008
14 years 11 months ago
Two-Phased Event Relation Acquisition: Coupling the Relation-Oriented and Argument-Oriented Approaches
Addressing the task of acquiring semantic relations between events from a large corpus, we first argue the complementarity between the pattern-based relation-oriented approach and...
Shuya Abe, Kentaro Inui, Yuji Matsumoto
ICASSP
2011
IEEE
14 years 1 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...
FORMATS
2009
Springer
15 years 4 months ago
Analyzing Real-Time Event-Driven Programs
Embedded real-time systems are typically programmed in low-level languages which provide support for event-driven task processing and real-time interrupts. We show that the model c...
Pierre Ganty, Rupak Majumdar