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Utilization of Selected Data Mining Methods for Communication Network Analysis

机译:利用选定的数据挖掘方法进行通信网络分析

摘要

The aim of the project was to analyze the behavior of military communication networks based on work with real data collected continuously since 2005. With regard to the nature and amount of the data, data mining methods were selected for the purpose of analyses and experiments. The quality of real data is often insufficient for an immediate analysis. The article presents the data cleaning operations which have been carried out with the aim to improve the input data sample to obtain reliable models. Gradually, by means of properly chosen SW, network models were developed to verify generally valid patterns of network behavior as a bulk service. Furthermore, unlike the commercially available communication networks simulators, the models designed allowed us to capture nonstandard models of network behavior under an increased load, verify the correct sizing of the network to the increased load, and thus test its reliability. Finally, based on previous experience, the models enabled us to predict emergency situations with a reasonable accuracy.
机译:该项目的目的是根据自2005年以来连续收集的真实数据对军事通信网络的行为进行分析。针对数据的性质和数量,选择了数据挖掘方法以进行分析和实验。实际数据的质量通常不足以立即进行分析。本文介绍了为了改善输入数据样本以获得可靠模型而进行的数据清理操作。逐渐地,通过适当选择的软件,开发了网络模型,以验证作为批量服务的网络行为的一般有效模式。此外,与市售的通信网络模拟器不同,所设计的模型使我们能够在负载增加的情况下捕获网络行为的非标准模型,验证对负载增加的网络的正确大小,从而测试其可靠性。最后,基于先前的经验,这些模型使我们能够以合理的准确性预测紧急情况。

著录项

  • 作者

    Vranova Z.; Ondryhal V.;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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