Номер журнала: 2020.3
Заголовок статьи: Methods of data preparation data for intelligent analysis of the computer systems reliability
Data preparation for intelligent analysis of the computer systems reliability takes a significant part of time in the process of data extraction. The incoming data from the computer systems operation is redundant and heterogeneous. Existing data mining techniques have a general purpose. In this paper, we propose a new methodology for data preparation. The methodology focuses on the analysis of computer systems reliability with two tasks setting: general and special data preparation. The main contribution of the developed methodology is the identification of features and potentially significant indicators in the data set. The comparative analysis results confirmed time reduction for data preparation when automating specialized tasks.
computer systems, data preparation, statistical analysis, data mining, machine learning
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