Please use this identifier to cite or link to this item: http://openarchive.nure.ua/handle/document/5840
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dc.contributor.authorБулах, В. А.-
dc.contributor.authorКіріченко, Л. О.-
dc.contributor.authorРадівілова, Т. А.-
dc.date.accessioned2018-06-05T18:55:35Z-
dc.date.available2018-06-05T18:55:35Z-
dc.date.issued2018-
dc.identifier.citationBulakh V. Classification of Multifractal Time Series by Decision Tree Methods / V. Bulakh, L. Kirichenko, T. Radivilova // Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, May 14-17, 2018. – V. I. – Kyiv. – Р. 457–460.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/5840-
dc.description.abstractThe article considers classification task of model fractal time series by the methods of machine learning. To classify the series, it is proposed to use the meta algorithms based on decision trees. To modeling the fractal time series, binomial stochastic cascade processes are used. Classification of time series by the ensembles of decision trees models is carried out. The analysis indicates that the best results are obtained by the methods of bagging and random forest which use regression trees.uk_UA
dc.language.isoenuk_UA
dc.publisherКНУuk_UA
dc.subjectmultifractal time seriesuk_UA
dc.subjectbinomial stochastic cascadeuk_UA
dc.subjectclassification of time seriesuk_UA
dc.subjectRandom Forestuk_UA
dc.subjectBagginguk_UA
dc.titleClassification of Multifractal Time Series by Decision Tree Methodsuk_UA
dc.typeThesisuk_UA
Appears in Collections:Кафедра прикладної математики (ПМ)

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