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» Discovering Temporal Knowledge in Multivariate Time Series
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ICML
2010
IEEE
13 years 6 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
IEAAIE
2005
Springer
13 years 11 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...
JIIS
2000
119views more  JIIS 2000»
13 years 5 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
FLAIRS
2009
13 years 3 months ago
Multivariate Time Series Classification with Temporal Abstractions
Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos...