Open AccessINTELLECTUAL ANALYSIS OF DATA
Author(s) -
Г. В. Марчук,
В. Л. Левківський,
С. С. Каліберда
Publication year - 2019
Publication title -
bionika intellekta
Language(s) - English
Resource type - Journals
eISSN - 2663-306X
pISSN - 2663-3051
DOI - 10.30837/bi.2019.1(92).11
Subject(s) - data mining , computer science , identification (biology) , support vector machine , data science , regression analysis , data analysis , machine learning , botany , biology
The main research of the article is the data mining methods, such as linear and polynomial regression and the support vector machine. The application success is based on the fact that the methods and technologies of Data mining ensure the study of data and the research of hidden patterns in them. The analysis assists in identification of various features and data parameters, and therefore it is a powerful tool in the stage of forming forecasting models.