Skip navigation

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/48326
Title: Wavelets as a Tool for Data Mining Technology
Authors: Chetverykov, Grygoriy
Kobylin, Oleg
Lyashenko, Vyacheslav
Deineko, Zhanna
Affiliation: Kharkiv National University of Radioelectronics
Bibliographic description (Ukraine): 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).
Bibliographic description (International): 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).
Is part of: Інформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019, 2019
Information, Communication, Society 2019 : proceedings of the 8th International Academic ConferenceICS-2019, 2019
Conference/Event: 8 Міжнародна наукова конференція "Інформація, комунікація, суспільство" ІКС-2019
Journal/Collection: Інформація, комунікація, суспільство 2019 : матеріали 8-ої Міжнародної наукової конференції ІКС-2019
Issue Date: 16-May-2019
Publisher: Видавництво Львівської політехніки
Place of the edition/event: Львів
Lviv
Temporal Coverage: 16-18 травня 2019 року,Чинадієво
Keywords: wavelet analysis
data mining
phishing attack
human speech
image
analysis technology
Number of pages: 2
Page range: 249-250
Start page: 249
End page: 250
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.
URI: https://ena.lpnu.ua/handle/ntb/48326
ISBN: 978-966-941-333-8
Copyright owner: © Національний університет “Львівська політехніка”, 2019
References (Ukraine): 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.
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.
3. N. Shakhovska, “Consolidated processing for differential information products,” Perspective Technologies and Methods in MEMS Design, 2011, pp. 176-177.
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.
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.
References (International): 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.
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.
3. N. Shakhovska, "Consolidated processing for differential information products," Perspective Technologies and Methods in MEMS Design, 2011, pp. 176-177.
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.
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.
Content type: Conference Abstract
Appears in Collections:Інформація,комунікація,суспільство (ICS-2019). – 2019 р.

Files in This Item:
File Description SizeFormat 
2019_Chetverykov_G-Wavelets_as_a_Tool_249-250.pdf461.94 kBAdobe PDFView/Open
2019_Chetverykov_G-Wavelets_as_a_Tool_249-250__COVER.png1.15 MBimage/pngView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.