REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS
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,...
| الحاوية / القاعدة: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
|---|---|
| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Lublin University of Technology
2024-03-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ph.pollub.pl/index.php/iapgos/article/view/5572 |
| _version_ | 1850382573443743744 |
|---|---|
| author | Patryk Mauer |
| author_facet | Patryk Mauer |
| author_sort | Patryk Mauer |
| collection | DOAJ |
| container_title | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| description |
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.
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| format | Article |
| id | doaj-art-0dbcff2f0a1d4d2eae0d57681a281b1e |
| institution | Directory of Open Access Journals |
| issn | 2083-0157 2391-6761 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| spelling | doaj-art-0dbcff2f0a1d4d2eae0d57681a281b1e2025-08-19T22:57:00ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612024-03-0114110.35784/iapgos.5572REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONSPatryk Mauer0https://orcid.org/0000-0003-4173-0424Opole University of Technology 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. https://ph.pollub.pl/index.php/iapgos/article/view/5572machine learningweb sitesprediction methodsclassification algorithms |
| spellingShingle | Patryk Mauer REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS machine learning web sites prediction methods classification algorithms |
| title | REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS |
| title_full | REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS |
| title_fullStr | REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS |
| title_full_unstemmed | REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS |
| title_short | REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS |
| title_sort | review of modelling approaches for website related predictions |
| topic | machine learning web sites prediction methods classification algorithms |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/5572 |
| work_keys_str_mv | AT patrykmauer reviewofmodellingapproachesforwebsiterelatedpredictions |