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Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory
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| Published in: | Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868553633774174208 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi |
| description | |
| discipline_display | Computer Engiineering |
| discipline_facet | Computer Engiineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:78906 |
| institution | FRELIP |
| journal_source_facet | Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi |
| last_indexed | 2026-06-20T21:40:03.057Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory Computer Engiineering General Computer Engiineering |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Engiineering General Computer Engiineering |
| subject_facet | Computer Engiineering General Computer Engiineering |
| title | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory |
| title_alt | Mejora de los sistemas de detección de intrusiones mediante la integración de clasificadores de máquina de vectores de soporte y bosque aleatorio utilizando la teoría de Dempster-Shafer Amélioration des systèmes de détection d'intrusion en intégrant les classifieurs Support Vector Machine et Random Forest à l'aide de la théorie de Dempster-Shafer Aprimoramento de Sistemas de Detecção de Intrusão pela Integração de Classificadores Support Vector Machine e Random Forest Usando a Teoria de Dempster-Shafer |
| title_auth | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory |
| title_es_txt | Mejora de los sistemas de detección de intrusiones mediante la integración de clasificadores de máquina de vectores de soporte y bosque aleatorio utilizando la teoría de Dempster-Shafer |
| title_fr_txt | Amélioration des systèmes de détection d'intrusion en intégrant les classifieurs Support Vector Machine et Random Forest à l'aide de la théorie de Dempster-Shafer |
| title_full | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory |
| title_fullStr | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory |
| title_full_unstemmed | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory |
| title_pt_txt | Aprimoramento de Sistemas de Detecção de Intrusão pela Integração de Classificadores Support Vector Machine e Random Forest Usando a Teoria de Dempster-Shafer |
| title_short | Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory |
| title_sort | enhancing intrusion detection systems by integrating support vector machine and random forest classifiers using dempster-shafer theory |
| topic | Computer Engiineering General Computer Engiineering |
| url | https://ejournal.unitomo.ac.id/index.php/inform/article/view/11075 |