A Hybrid Feature Selection Framework for Predicting Students Performance

التفاصيل البيبلوغرافية
العنوان: A Hybrid Feature Selection Framework for Predicting Students Performance
المؤلفون: Khurrum Shehzad Quraishi, Raja Habib, Manzoor Ahmed Hashmani, Samar Alqhtani, Muhammad Irfan, Mohammed Hamdi, Maryam Zaffar
المصدر: Computers, Materials & Continua. 70:1893-1920
بيانات النشر: Computers, Materials and Continua (Tech Science Press), 2022.
سنة النشر: 2022
مصطلحات موضوعية: Biomaterials, Mechanics of Materials, Computer science, business.industry, Modeling and Simulation, Feature selection, Artificial intelligence, Electrical and Electronic Engineering, Machine learning, computer.software_genre, business, computer, Computer Science Applications
تدمد: 1546-2226
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::99486debbcec8a22e9f939b5f994cd8b
https://doi.org/10.32604/cmc.2022.018295
حقوق: OPEN
رقم الأكسشن: edsair.doi...........99486debbcec8a22e9f939b5f994cd8b
قاعدة البيانات: OpenAIRE