Data Mining and Nonlinear Non-stationary Processes Forecasting by Using Linguistic Modeling Method

Autor: Yurii Selin, Tatiana Shulkevich, Vilen Savchenko
Rok vydání: 2019
Předmět:
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