REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS

Patryk Mauer

doi:10.35784/iapgos.5572

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Published: Mar 31, 2024

DOI: https://doi.org/10.35784/iapgos.5572

Issue Vol. 14 No. 1 (2024)

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DOI

https://doi.org/10.35784/iapgos.5572

Authors

Patryk Mauer

patryk.mauer@student.po.edu.pl

Opole University of Technology, Poland

https://orcid.org/0000-0003-4173-0424

Abstract

This paper researches various modelling approaches for website-related predictions, offering an overview of the field. With the ever-expanding landscape of the World Wide Web, there is an increasing need for automated methods to categorize websites. This study examines an array of prediction tasks, including website categorization, web navigation prediction, malicious website detection, fake news website detection, phishing website detection, and evaluation of website aesthetics.

Keywords:

machine learning, web sites, prediction methods, classification algorithms

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Mauer, P. (2024). REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(1), 63–66. https://doi.org/10.35784/iapgos.5572

REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS

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