Feb 26, 2013 · Abstract:ARFIMA is a time series forecasting model, which is an improved ARMA model, the ARFIMA model proposed in this article is ...
Oct 22, 2024 · ARFIMA is a time series forecasting model, which is an improved ARMA model, the ARFIMA model proposed in this article is demonstrated and ...
ARFIMA is a time series forecasting model, which is an improved ARMA model, the ARFIMA model proposed in this article is demonstrated and deduced in detail.
The ARFIMA model is proposed, which is an improve on the ARMA model, and the prediction efficiency and accuracy has increased significantly, ...
Abstract. ARFIMA is a time series forecasting model, which is an improve d ARMA model, the ARFIMA model proposed in this article is d.
In this paper, we present network anomaly detection with the use of ARFIMA model. We propose the method of estimation parameters using the Hyndman-Khandakar ...
In this paper we propose to use the statistical estimation of ARFIMA model for defined time series describing the tested network traffic. Anomalies are de-.
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Which algorithm used in traffic prediction?
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The experiment result shows that the hybrid ARMA model and ARFIMA model has higher accuracy on predication the network traffic and is practical on network ...
In the presented method, it is proposed to use statistical relationships between predicted and original network traffic to determine if the examined trace ...
It was mainly divided into the following steps: (1) predict the network traffic based on ARIMA model and calculate the prediction residual; (2) predict residual ...
Missing: ARFIMA | Show results with:ARFIMA