Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder
Marcin Gabryel
Department of Intelligent Computer Systems, Częstochowa University of TechnologyCzęstochowa, Poland
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, , Zbigniew Filutowicz
Institute of Information Technologies, University of Social SciencesLodz,
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, Zofia Patora-Wysocka
Management Department, University of Social ScienceLodz, Poland
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, Marek Kisiel-Dorohinicki
Institute of Computer Science, AGH University of Science and TechnologyKrakow, Poland
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e Guang Yi Chen
Department of Computer Science and Software Engineering Concordia UniversityCanada
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29 ott 2022
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 29 ott 2022
Pagine: 255 - 256
Ricevuto: 02 apr 2022
Accettato: 12 ott 2022
DOI: https://doi.org/10.2478/jaiscr-2022-0017
Parole chiave
© 2022 Marcin Gabryel et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Gabryel, Marcin
Department of Intelligent Computer Systems, Częstochowa University of TechnologyCzęstochowa, Poland
Lada, Dawid
Spark DigitupKrakow, Poland
Filutowicz, Zbigniew
Institute of Information Technologies, University of Social SciencesLodz
Patora-Wysocka, Zofia
Management Department, University of Social ScienceLodz, Poland
Kisiel-Dorohinicki, Marek
Institute of Computer Science, AGH University of Science and TechnologyKrakow, Poland
Chen, Guang Yi
Department of Computer Science and Software Engineering Concordia UniversityCanada