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» A Wavelet Transfer Model for Time Series Forecasting
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IJCSA
2006
289views more  IJCSA 2006»
14 years 10 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
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...
PremChand Kumar, Ekta Walia
TSMC
2008
102views more  TSMC 2008»
14 years 9 months ago
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
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...
Balaji Krithikaivasan, Yong Zeng, Deep Medhi
JIDM
2010
145views more  JIDM 2010»
14 years 8 months ago
Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner
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...
Luciana A. S. Romani, Ana Maria Heuminski de &Aacu...
PVLDB
2008
138views more  PVLDB 2008»
14 years 9 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
CSDA
2007
124views more  CSDA 2007»
14 years 10 months ago
Wavelet based time-varying vector autoregressive modelling
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
João Ricardo Sato, Pedro Alberto Morettin, ...