Autors: Ujkani, B. T., Minkovska, D. V., Stoyanova, L. Y. Title: A Machine Learning Approach for Predicting Student Enrollment in the University Keywords: education data mining, machine learning; student prediction; References Issue
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Цитирания (Citation/s):
1. Yang, L., Chen, Y., Zhang, L., Research on an improved prediction model based on decision tree algorithm, 2022 IEEE 2nd International Conference on Data Science and Computer Application, ICDSCA 2022,Pages 206 - 2092022 2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022, Dalian, 28 October 2022 through 30 October 2022, Code 185682, DOI 10.1109/ICDSCA56264.2022.9988318 - 2022 - в издания, индексирани в Scopus или Web of Science
2. Dimitrie-Daniel Plăcintă, A Machine Learning Approach to Identify the Feature Importance for Admission in the National Military High Schools, December 2022 Journal of Social and Economic Statistics 11(1-2):118-131, DOI: 10.2478/jses-2022-0007 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
3. Al-Alawi, A.I., Alfateh, M.A.A., Alrayes, A.M., Educational Data Mining Utilization to Support the Admission Process in Higher Education Institutions: A Systematic Literature Review, 2023 International Conference on Cyber Management and Engineering, CyMaEn 2023, Pages 332 – 339, 2023 International Conference on Cyber Management and Engineering, CyMaEn 2023 Bangkok 26 January 2023 through 27 January 2023,Code 186983, DOI 10.1109/CyMaEn57228.2023.10051077 - 2023 - в издания, индексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science