كتاب إلكتروني
Analyzing Supervised Learning Models for Predicting Student Dropout and Success in Higher Education
العنوان: | Analyzing Supervised Learning Models for Predicting Student Dropout and Success in Higher Education |
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المؤلفون: | Bhurre, ShraddhaAff19, Prajapat, ShaligramAff19 |
المساهمون: | Kacprzyk, Janusz, Series EditorAff1, Pal, Nikhil R., Advisory EditorAff2, Bello Perez, Rafael, Advisory EditorAff3, Corchado, Emilio S., Advisory EditorAff4, Hagras, Hani, Advisory EditorAff5, Kóczy, László T., Advisory EditorAff6, Kreinovich, Vladik, Advisory EditorAff7, Lin, Chin-Teng, Advisory EditorAff8, Lu, Jie, Advisory EditorAff9, Melin, Patricia, Advisory EditorAff10, Nedjah, Nadia, Advisory EditorAff11, Nguyen, Ngoc Thanh, Advisory EditorAff12, Wang, Jun, Advisory EditorAff13, Naik, Nitin, editorAff14, Jenkins, Paul, editorAff15, Grace, Paul, editorAff16, Yang, Longzhi, editorAff17, Prajapat, Shaligram, editorAff18 |
المصدر: | Advances in Computational Intelligence Systems : Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. 1453:234-248 |
قاعدة البيانات: | Springer Nature eBooks |
ردمك: | 9783031475078 9783031475085 |
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DOI: | 10.1007/978-3-031-47508-5_19 |