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WITTNER, A. SIKORA, M. RICCI, S.
Originální název
Dictionary Search Algorithm for Job Ads Profiling
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
This article describes a novel way for developing an assisting module for analyzing cybersecurity skills in job advertisements. This module will be included in the Cybersecurity Job Ads Analyzer web application, which will be used to examine cybersecurity skill requirements in job opportunities. Our idea speeds up the development of the test database utilized in the analysis by eliminating the need for manual data entry. To that end, various dictionary search algorithms have been examined, and a comparison of four dictionary construction methods is offered
Klíčová slova
Dictionary search algorithm;cybersecurity skills analysis; ENISA framework
Autoři
WITTNER, A.; SIKORA, M.; RICCI, S.
Vydáno
25. 4. 2023
Nakladatel
Brno University of Technology, Faculty of Electrical Engineering and Communication
Místo
Brno
ISBN
978-80-214-6153-6
Kniha
Proceedings I of the 29th Conference STUDENT EEICT 2023 General papers
Edice
1
Strany od
60
Strany do
63
Strany počet
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf
BibTex
@inproceedings{BUT184768, author="Marek {Sikora} and Sara {Ricci} and Alex {Wittner}", title="Dictionary Search Algorithm for Job Ads Profiling", booktitle="Proceedings I of the 29th Conference STUDENT EEICT 2023 General papers", year="2023", series="1", pages="60--63", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", isbn="978-80-214-6153-6", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf" }