Thus, the unpredictable workload pattern is more complex than the growing and the periodic patterns, which suggests using a regression model with a higher VC-dimension to forecast the unpredictable pattern.
It also can be used to analyze and forecast the competition pattern in the energy industry.
It will be beneficial for academic researchers to apply various technology adoption and innovation diffusion models to analyze and forecast the evolutionary pattern of HFT, thus giving HFT practitioners useful guidance.
Subsequently, this model is utilized to forecast the real pattern of genes' differential expression.
This approach was conducted to forecast the distribution patterns of some soil biological indices in Mirabad area, North West of Iran.
Based on technology and innovation adoption and diffusion models, we can analyse and forecast the evolutionary patterns of HFT in emerging markets, such as Asian financial markets in Asian, and give HFT practitioners useful guidance and help them avoid some problems.
Once a usage history is established, different prediction models (e.g., autoregressive (AR), autoregressive moving average (ARMA) with time varying coefficients, autoregressive integrated moving average (ARIMA), seasonal ARIMA (SARIMA), and so on [33]) can be used to forecast the future PU traffic pattern.
If you want to criticize technical analysis, which attempts to forecast the market by seeing patterns in the random movements of stock prices, you ought to have a thick skin.
Extrapolating from past patterns to forecast the effects of the proposed roads and highways, the study said, at worst, only 5% of Amazonia might remain as pristine forest in 2020, with a further 24% being lightly degraded and the rest badly damaged or gone.There are good reasons for hoping that things will not turn out so badly.
Based on the formal analysis, the structural risk minimization outperforms the empirical risk minimization for predicting the periodic and the growing workload patterns, but the empirical risk minimization is a better fit for forecasting the unpredictable workload pattern.
