179 search results - page 6 / 36 » Time series clustering based on forecast densities |
ESANN
2000
14 years 11 months ago
2000
Abstract. A prediction scheme for spatio-temporal time series is presented that is based on reconstructed local states. As a numerical example the ev olution of a Kuramoto-Sivashin...
FLAIRS
2000
14 years 11 months ago
2000
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
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EUSFLAT
2009
14 years 7 months ago
2009
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
DASFAA
2008
IEEE
15 years 4 months ago
2008
IEEE
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...