| DC Field | Value | Language |
|---|
| dc.contributor.author | Chetverykov, Grygoriy | |
| dc.contributor.author | Kobylin, Oleg | |
| dc.contributor.author | Lyashenko, Vyacheslav | |
| dc.contributor.author | Deineko, Zhanna | |
| dc.coverage.temporal | 16-18 травня 2019 року,Чинадієво | |
| dc.date.accessioned | 2020-04-09T11:18:17Z | - |
| dc.date.available | 2020-04-09T11:18:17Z | - |
| dc.date.created | 2019-05-16 | |
| dc.date.issued | 2019-05-16 | |
| dc.identifier.citation | Wavelets 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.isbn | 978-966-941-333-8 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/48326 | - |
| dc.description.abstract | Extraction 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.extent | 249-250 | |
| dc.language.iso | en | |
| dc.publisher | Видавництво Львівської політехніки | |
| dc.relation.ispartof | Інформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019, 2019 | |
| dc.relation.ispartof | Information, Communication, Society 2019 : proceedings of the 8th International Academic ConferenceICS-2019, 2019 | |
| dc.subject | wavelet analysis | |
| dc.subject | data mining | |
| dc.subject | phishing attack | |
| dc.subject | human speech | |
| dc.subject | image | |
| dc.subject | analysis technology | |
| dc.title | Wavelets as a Tool for Data Mining Technology | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2019 | |
| dc.contributor.affiliation | Kharkiv National University of Radioelectronics | |
| dc.format.pages | 2 | |
| dc.identifier.citationen | Wavelets 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 : Vydavnytstvo Lvivskoi politekhniky, 2019. — P. 249–250. — (Tekhnolohii informatsiinoho menedzhmentu ta intelektualnoho opratsiuvannia danykh). | |
| dc.relation.references | 1. 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.references | 2. 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.references | 3. N. Shakhovska, “Consolidated processing for differential information products,” Perspective Technologies and Methods in MEMS Design, 2011, pp. 176-177. | |
| dc.relation.references | 4. 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.references | 5. 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.referencesen | 1. 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.referencesen | 2. 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.referencesen | 3. N. Shakhovska, "Consolidated processing for differential information products," Perspective Technologies and Methods in MEMS Design, 2011, pp. 176-177. | |
| dc.relation.referencesen | 4. 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.referencesen | 5. 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.citation.conference | 8 Міжнародна наукова конференція "Інформація, комунікація, суспільство" ІКС-2019 | |
| dc.citation.journalTitle | Інформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019 | |
| dc.citation.spage | 249 | |
| dc.citation.epage | 250 | |
| dc.coverage.placename | Львів | |
| dc.coverage.placename | Lviv | |
| Appears in Collections: | Інформація,комунікація,суспільство (ICS-2019). – 2019 р.
|
