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TIP
2008
165views more  TIP 2008»
14 years 9 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
ADBIS
2008
Springer
131views Database» more  ADBIS 2008»
15 years 3 months ago
Increasing Expressiveness of Composite Events Using Parameter Contexts
The event-condition-action paradigm (also known as triggers or ECA rules) gives a database “active” capabilities – the ability to react automatically to changes in the databa...
Indrakshi Ray, Wei Huang
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 10 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
DAGSTUHL
2007
14 years 11 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen
FLAIRS
2004
14 years 11 months ago
An Active Architecture for Managing Events in Pervasive Computing Environments
Many dramatizations have depicted a fully automated home living environment, where actions and events are understood or even anticipated. While the realization of such environment...
Edwin Wong, Lisa J. Burnell, Charles Hannon