111 search results - page 9 / 23 » Integration of multi-time-scale models in time series foreca... |
MLDM
2009
Springer
14 years 2 months ago
2009
Springer
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
IJCSA
2006
13 years 7 months ago
2006
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
TSMC
2008
13 years 7 months ago
2008
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
JIDM
2010
13 years 6 months ago
2010
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of na...