Structure, functions of intelligent data processing system

The article considers the prospects and features of the development of intelligent data processing systems. Special attention in the process of research is given to the requirements that apply to such systems, their functions and structure. The range of tasks to be solved and the scope of use are also indicated. In addition, the factors that predetermine the popularity and widespread use of neural network modeling methods based on deep learning are identified. Particular emphasis is placed on the algorithm for conducting data mining, and the universal block diagram of data mining developed by the author is described. On the example of solving the problem of detecting encrypted and malicious network traffic using a one-dimensional convolutional neural network, the features of an intelligent approach to data processing and analysis are described.

Keywords: data, data mining, machine learning, digitalization, database, neural network.

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