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» FuncICA for Time Series Pattern Discovery.
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GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
14 years 1 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch
AAAI
2007
13 years 10 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
CGF
2010
189views more  CGF 2010»
13 years 7 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
AIME
2007
Springer
14 years 1 months ago
A Human-Machine Cooperative Approach for Time Series Data Interpretation
Abstract. This paper deals with the interpretation of biomedical multivariate time series for extracting typical scenarios. This task is known to be difficult, due to the temporal ...
Thomas Guyet, Catherine Garbay, Michel Dojat
IEAAIE
2005
Springer
14 years 1 months ago
Inferring Definite-Clause Grammars to Express Multivariate Time Series
In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
Gabriela Guimarães, Luís Moniz Perei...