Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 36th International Conference on Information Technologies, InfoTech 2022

Год издания: 2022

Идентификатор DOI: 10.1109/InfoTech55606.2022.9897105

Ключевые слова: classification, classification algorithms, classification quality, decision tree

Аннотация: This paper discusses the application of data pre-processing methods to identify significant taxation and bioclimatic factors influencing the behavior of ecosystems, using examples of outbreaks of mass reproduction of the Siberian silk moth. For further analysis of the behavior of ecosystems, we formulate the problem of classification; we make a preliminary assessment of the methods of classification. As a classification method, we chose the decision tree method. The results of the computational experiment showed the expediency of data preprocessing for solving the problem of classifying large amounts of data. © 2022 IEEE.

Журнал: 2022 36th International Conference on Information Technologies, InfoTech 2022 - Proceedings

Издатель: Institute of Electrical and Electronics Engineers Inc.

• Rezova N. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660031, Russian Federation)
• Kazakovtsev L. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660031, Russian Federation, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• Shkaberina G. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660031, Russian Federation)
• Demidko D. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660031, Russian Federation)
• Goroshko A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660031, Russian Federation)

• Scopus