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» Discovering Temporal Knowledge in Multivariate Time Series
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CSDA
2010
173views more  CSDA 2010»
13 years 7 months ago
Time-varying joint distribution through copulas
This paper deals with the analysis of temporal dependence in multivariate highfrequency time series data. The dependence structure between the marginal series is modelled through ...
M. Concepcion Ausin, Hedibert F. Lopes
CIKM
2006
Springer
13 years 11 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
ICCV
2009
IEEE
15 years 14 days ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
AAAI
2007
13 years 9 months ago
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...
Tom Armstrong, Tim Oates
INFOVIS
1998
IEEE
13 years 11 months ago
Geographic Visualization: Designing Manipulable Maps for Exploring Temporally Varying Georeferenced Statistics
Geographic Visualization, sometimes called cartographic visualization, is a form of information visualization in which principles from cartography, geographic information systems ...
Alan M. MacEachren, Francis P. Boscoe, Daniel Haug...