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A Hybrid Feature Selection Framework for Predicting Students Performance
Author(s) -
Maryam Zaffar,
Manzoor Ahmed Hashmani,
Raja Habib,
KS Quraishi,
Muhammad Irfan,
Samar M. Alqhtani,
Mohammed Hamdi
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.018295
Subject(s) - feature selection , benchmark (surveying) , feature (linguistics) , computer science , cosine similarity , selection (genetic algorithm) , artificial intelligence , machine learning , data mining , similarity (geometry) , quality (philosophy) , class (philosophy) , pattern recognition (psychology) , linguistics , philosophy , geodesy , epistemology , image (mathematics) , geography

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