Intelligent auxiliary evaluation method for higher education quality based on data mining technology

Συγγραφείς: Yan Li

Πηγή: Discover Artificial Intelligence, Vol 6, Iss 1 (2026)

Θεματικοί όροι: Data mining, Higher education quality, Intelligent assessment support, Educational knowledge graph, SLIQ data mining algorithm, Random forest algorithm, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Περιγραφή αρχείου: electronic resource

Relation: https://doaj.org/toc/2731-0809

Σύνδεσμος πρόσβασης: https://doaj.org/article/2785231377d54fc0999f192e7f1c84d1