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Short-Term Time Series Modelling Forecasting Using Genetic Algorithm
(Lecture Notes in Electrical Engineering 520 SpringerLink, 2019-10-30)
The prediction analysis of a network traffic time series dataset in order to obtain a reliable forecast is a very important task to any organizations. A time AQ1 series data can be defined as an ordered sequence of values ...
THE UTILIZATION OF COBIT FRAMEWORK WITHIN IT GOVERNANCE: A STUDY OF LITERATURE
(The 2nd ACIKITA International Conference on Science and Technology (AICST), 2012)
Recently, the requirement of managing Information Technology (IT) resources properly is
necessary for any organizations. Organizations that are able to manage their IT resources effectively
and efficiently will have more ...
Comparison of ANN Back Propagation Techniques in Modelling Network Traffic Activities
(1st International Conference on Science and Technology for Sustainability (ICosTechs), 2014)
In this paper, we demonstrated a method used for forecasting the daily network traffic activities by using artificial neural network (ANN) with back propagation (BP) algorithms. We used the inputs and outputs of data from ...
A Heuristic Network for Predicting the Percentage of Gross Domestic Product Distribution
(IEEE, 2019-03-25)
In a country, economic growth indicators are measured by GDP growth rates. In order to predict GDP growth then, economic situation and economic development strategy have always been used. In this study, GDP contribution ...
Performance of Modeling Time Series Using Nonlinear Autoregressive with eXogenous input (NARX) in the Network Traffic Forecasting
(2015 International Conference on Science in Information Technology (ICSITech), 2016-02-18)
A time-series data analysis and prediction tool for learning the network traffic usage data is very important in order to ensure an acceptable and a good quality of network services can be provided to the organization ...