Framework of Recommendation Systems for Educational Data Mining (EDM) Methods: CBR-RS with KNN Implementation

Author:

Masethe Mosima Anna,Ojo Sunday Olusegun,Odunaike Solomon Adeyemi,Masethe Hlaudi Daniel

Publisher

Springer Singapore

Reference22 articles.

1. Gibert K, Sànchez-marrè M (2010) Choosing the right data mining technique: classification of methods and intelligent recommendation choosing the right data mining technique

2. Masethe MA, Ojo SO, Odunaike SA (2019) Taxonomy of recommender systems for educational data mining (EDM) techniques: a systematic review. In: Lecture notes in engineering and computer science: proceedings of the world congress on engineering and computer science 2019, WCECS 2019, October 22–24, 2019, San Francisco, USA, pp 243–248

3. Masethe MA (2019) A recommendation system for educational data mining techniques. Tshwane University of Technology

4. Alferez SV (2019) Content-based course recommender system for liberal arts education, no. Edm, pp 748–753

5. Dorc FA, Carvalho VC, Mendes MM, Ara RD (2017) An approach for automatic and dynamic analysis of learning objects repositories through ontologies and data mining techniques for supporting personalized recommendation of content in adaptive and intelligent educational systems, pp 18–20

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