Detection and Classification of Network Intrusions Using Ensemble Learning Methods

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dc.contributor.authorIvchenko, V. V.
dc.contributor.authorІвченко, В. В.
dc.contributor.authorІванова, Ірина Вікторівна
dc.contributor.authorIvanova, Iryna V.
dc.date.accessioned2026-06-23T08:43:01Z
dc.date.available2026-06-23T08:43:01Z
dc.date.issued2026
dc.description.abstractThe presented work is dedicated to the development of intelligent systems for identifying cyber threats and network anomalies. This study was implemented within the framework of a specialized English-language Python programming course. A feature of the training was the full integration of technical English in the educational process: from studying the documentation of machine learning libraries to communicating with teachers and colleagues exclusively in English for discussing model architectures and experimental results.
dc.identifier.citationIvchenko V.V., Ivanova I.V. Detection and Classification of Network Intrusions Using Ensemble Learning Methods. Матеріали ХVІІI Всеукраїнської науково-практичної конференції «Тенденції розвитку ІТ-технологій в Україні»: збірник наукових праць. Черкаси, 2026. С. 61-62
dc.identifier.urihttp://csbc.edu.ua/documents/student/2404265.pdf
dc.identifier.urihttps://dr.csbc.edu.ua/handle/123456789/2348
dc.publisherЧДБК
dc.subjectSOCIAL SCIENCES::Social sciences::Education
dc.subjectHUMANITIES and RELIGION::Languages and linguistics
dc.subjectSOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Information technology
dc.titleDetection and Classification of Network Intrusions Using Ensemble Learning Methods
dc.typeThesis
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2026 рік ХVІІI Всеукраїнська науково-практична конференція «Тенденції розвитку ІТ-технологій в Україні»