Autor: |
Yurii Selin, Tatiana Shulkevich, Vilen Savchenko |
Rok vydání: |
2019 |
Předmět: |
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Zdroj: |
Advances in Computer Science for Engineering and Education II ISBN: 9783030166205 |
Popis: |
The report focuses on the actual task of development of mathematical tool for data mining and nonlinear non-stationary processes forecasting. The proposed mathematical tool can use in solving the problems of data analysis of various nature for nonlinear non-stationary processes forecasting. The results of its application for prediction of such processes are present. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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