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Automatic Threat Detection in ICT Systems by Selected Data Mining Methods and Software

Kamil Sapała et al · Lodz University Press · 2018

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The paper presents some real‑time analytical solutions that work in a proprietary‑designed system for IT security. It describes automatic methods of data transformations and analysis aiming at detection of potential threats (irregular system events, abnormal user behavior) both for time series and text documents without human supervision. Automation procedures used for time series and text documents are presented. Analyzed data was collected by Free Construction while protecting systems of electronic documents repositories (also including the Enterprise Content Management standards).

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APA 7

al, K. S. E. (2018). Automatic Threat Detection in ICT Systems by Selected Data Mining Methods and Software. https://doi.org/10.18778/0208-6018.337.03

MLA

al, Kamil Sapała et. "Automatic Threat Detection in ICT Systems by Selected Data Mining Methods and Software." 2018. https://doi.org/10.18778/0208-6018.337.03.

Chicago

al, Kamil Sapała et. 2018. "Automatic Threat Detection in ICT Systems by Selected Data Mining Methods and Software.". https://doi.org/10.18778/0208-6018.337.03.

Harvard

al, K. S. E. 2018, Automatic Threat Detection in ICT Systems by Selected Data Mining Methods and Software, Lodz University Press, available at: https://doi.org/10.18778/0208-6018.337.03 [Accessed 6 Aug. 2026].

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Title
Automatic Threat Detection in ICT Systems by Selected Data Mining Methods and Software
Author / contributors
Kamil Sapała et al
Publisher
Lodz University Press
Publication year
2018
ISSN
0208-6018
ISSN
0208-6018
Language
English

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