| Autor: |
O. V. Limanovskaya, O. I. Mushtak, A. S. Lebedev |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
PHYSICS, TECHNOLOGIES AND INNOVATION (PTI-2019): Proceedings of the VI International Young Researchers’ Conference. |
| ISSN: |
0094-243X |
| Popis: |
This article is a part of research and development of software for a corporate directory of materials in the UMMC CIS. The developed product should allow to automat a number of functions that are currently performed with considerable laboriousness or require a long data processing time. The data set was prepared and analyzed. The analysis of data consisted in multiclass classification. The following methods were used: random forest, naive Bayes and XGBoosting. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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