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| Published in: | Proceedings of the International Conference on Business Excellence |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1864030189101514756 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Proceedings of the International Conference on Business Excellence |
| description | |
| discipline_display | Social Sciences |
| discipline_facet | Social Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:15915 |
| institution | FRELIP |
| journal_source_facet | Proceedings of the International Conference on Business Excellence |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach — — — — — Business and Economics Economics Social Sciences |
| sub_discipline_display | Economics |
| sub_discipline_facet | Economics |
| subject_display | — — — — — Business and Economics Economics Social Sciences — — — — — Business and Economics Economics Social Sciences |
| subject_facet | — — — — — Business and Economics Economics Social Sciences |
| title | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach |
| title_auth | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach |
| title_full | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach |
| title_fullStr | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach |
| title_full_unstemmed | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach |
| title_short | Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach |
| title_sort | predicting financial performance in the romanian transportation sector: a machine learning approach |
| topic | — — — — — Business and Economics Economics Social Sciences |
| url | https://sciendo.com/article/10.2478/picbe-2025-0049 |