Sciweavers

76 search results - page 4 / 16
» Discovering Temporal Knowledge in Multivariate Time Series
Sort
View
IPMU
2010
Springer
13 years 11 months ago
Short-Time Prediction Based on Recognition of Fuzzy Time Series Patterns
This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...
Gernot Herbst, Steffen F. Bocklisch
JMLR
2010
194views more  JMLR 2010»
13 years 2 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
ECML
1997
Springer
13 years 11 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
IEAAIE
2003
Springer
14 years 20 days ago
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Abstract: SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be vi...
Jin Yu, Ehud Reiter, Jim Hunter, Somayajulu Sripad...