Analysis of modern methods of intelligent data processing in network systems
Keywords:
intelligent data processing, network systems, machine learning, data mining, optimization algorithms, network managementAbstract
With the growth of internet of things and cloud computing, the volume of data generated by network systems is massive and growing exponentially. Effective analysis of this data is crucial for various applications including anomaly detection, traffic engineering and predictive maintenance. This paper analyses modern methods used for intelligent processing of networked system data. State-of-the-art techniques such as deep learning, ensemble modeling, feature engineering and distributed computing are surveyed. Both supervised and unsupervised techniques are evaluated on real network datasets. The objective is to identify approaches that can process data from network systems in a scalable, online and intelligent manner.
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