Wavelets as a Tool for Data Mining Technology

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dc.citation.conference8 Міжнародна наукова конференція "Інформація, комунікація, суспільство" ІКС-2019
dc.citation.epage250
dc.citation.journalTitleІнформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019
dc.citation.spage249
dc.contributor.affiliationKharkiv National University of Radioelectronics
dc.contributor.authorChetverykov, Grygoriy
dc.contributor.authorKobylin, Oleg
dc.contributor.authorLyashenko, Vyacheslav
dc.contributor.authorDeineko, Zhanna
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.coverage.temporal16-18 травня 2019 року, Чинадієво
dc.date.accessioned2023-04-25T08:14:52Z
dc.date.available2023-04-25T08:14:52Z
dc.date.created2019-05-16
dc.date.issued2019-05-16
dc.description.abstractExtraction of additional information from primary data is an important task for many areas of research. Additional information allows you to more accurately assess the situation and make more effective decisions. For more information, we have selected wavelets and corresponding wavelet analysis methods. We looked at the various applications of wavelets as a tool for data mining technology.
dc.format.extent249-250
dc.format.pages2
dc.identifier.citationWavelets as a Tool for Data Mining Technology / Grygoriy Chetverykov, Oleg Kobylin, Vyacheslav Lyashenko, Zhanna Deineko // Інформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019, 16-18 травня 2019 року, Чинадієво. — Львів : Видавництво Львівської політехніки, 2019. — С. 249–250. — (Технології інформаційного менеджменту та інтелектуального опрацювання даних).
dc.identifier.citationenWavelets as a Tool for Data Mining Technology / Grygoriy Chetverykov, Oleg Kobylin, Vyacheslav Lyashenko, Zhanna Deineko // Information, Communication, Society 2019 : proceedings of the 8th International Academic ConferenceICS-2019, 16-18 travnia 2019 roku, Chynadiievo. — Lviv : Lviv Politechnic Publishing House, 2019. — P. 249–250. — (Tekhnolohii informatsiinoho menedzhmentu ta intelektualnoho opratsiuvannia danykh).
dc.identifier.isbn978-966-941-333-8
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/58123
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofІнформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019, 2019
dc.relation.ispartofInformation, Communication, Society 2019 : proceedings of the 8th International Academic ConferenceICS-2019, 2019
dc.relation.references1. G. Chetverikov, O. Puzik, and I. Vechirska, “Multiple-valued structures of intellectual systems,” XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT), Lviv, 2016, pp. 204-207.
dc.relation.references2. S.M.H. Mousavi, and V. Lyashenko, “Extracting old persian cuneiform font out of noisy images (handwritten or inscription),” 10th Iranian Conference on Machine Vision and Image Processing (MVIP), Isfahan, 2017, pp. 241-246.
dc.relation.references3. N. Shakhovska, “Consolidated processing for differential information products,” Perspective Technologies and Methods in MEMS Design, 2011, pp. 176-177.
dc.relation.references4. A. Rabotiahov, O. Kobylin, Z. Dudar, and V. Lyashenko, “Bionic image segmentation of cytology samples method,” 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, 2018, pp. 665-670.
dc.relation.references5. M. Dadkhah, V.V. Lyashenko, Z.V. Deineko, S. Shamshirband, and M.D. Jazi, “Methodology of wavelet analysis in research of dynamics of phishing attacks,” International Journal of Advanced Intelligence Paradigms, vol. 12(3-4), pp. 220-238, 2019.
dc.relation.referencesen1. G. Chetverikov, O. Puzik, and I. Vechirska, "Multiple-valued structures of intellectual systems," XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT), Lviv, 2016, pp. 204-207.
dc.relation.referencesen2. S.M.H. Mousavi, and V. Lyashenko, "Extracting old persian cuneiform font out of noisy images (handwritten or inscription)," 10th Iranian Conference on Machine Vision and Image Processing (MVIP), Isfahan, 2017, pp. 241-246.
dc.relation.referencesen3. N. Shakhovska, "Consolidated processing for differential information products," Perspective Technologies and Methods in MEMS Design, 2011, pp. 176-177.
dc.relation.referencesen4. A. Rabotiahov, O. Kobylin, Z. Dudar, and V. Lyashenko, "Bionic image segmentation of cytology samples method," 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, 2018, pp. 665-670.
dc.relation.referencesen5. M. Dadkhah, V.V. Lyashenko, Z.V. Deineko, S. Shamshirband, and M.D. Jazi, "Methodology of wavelet analysis in research of dynamics of phishing attacks," International Journal of Advanced Intelligence Paradigms, vol. 12(3-4), pp. 220-238, 2019.
dc.rights.holder© Національний університет “Львівська політехніка”, 2019
dc.subjectwavelet analysis
dc.subjectdata mining
dc.subjectphishing attack
dc.subjecthuman speech
dc.subjectimage
dc.subjectanalysis technology
dc.titleWavelets as a Tool for Data Mining Technology
dc.typeConference Abstract

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Інформація,комунікація,суспільство (ICS-2019). – 2019 р.