105 search results - page 3 / 21 » A New Approach for Time Series Forecasting based on Genetic ... |
WINE
2005
Springer
13 years 11 months ago
2005
Springer
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
FLAIRS
2004
13 years 7 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
CORR
2011
Springer
13 years 23 days ago
2011
Springer
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
PVLDB
2008
13 years 5 months ago
2008
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...
AMC
2005
13 years 5 months ago
2005
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...