Accurate and real‐time network traffic flow forecast holds an important role for network
management. Especially at present, virtual reality (VR), artificial intelligence (AI), vehicle‐to …

In modern computer networks and high-loaded business or industrial systems there is a
need of continuous availability of services and hosts (see eg [28],[29][30][34]). Inaccessibility …

The article summarized current state of our works regarding usage of exponential smoothing
Holt-Winters' based models for analysis, modelling and forecasting Time Series with data of …

Implementation of Brutlag's algorithm in Anomaly Detection 3.0 Page 1 Abstract—This
paper presents information about Anomaly- Detection – a Snort-based network traffic …

Research on forecasting has traditionally focused on building more accurate statistical
models for a given time series. The models are mostly applied to limited data due to …

EAR Reader, it is our pleasure to present to you Position Papers of the 2014 Federated
Conference on Computer Science and Information Systems (FedCSIS), which took place in …

Prediction of future time series values is area of statistics and computer science research
related to pattern recognition. Especially possibility of prediction of the future computer …

Beekeepers face the situation that the health state of honey bee colonies is inherently
difficult to observe without stressing the bees by opening the hive. We address this problem …

In the industrial control domain, accurate network traffic prediction is crucial for optimizing
resource configuration and enhancing system stability. Addressing the limitations of existing …

Akwizycja, analiza, modelowanie, prognozowanie i symulacja ruchu sieciowego są
czynnościami prowadzonymi w sieciach teleinformatycznych zarówno dla potrzeb …