A data mining approach to guide students through the enrollment process based on academic performance

User Modeling and User-Adapted Interaction

Volumn 21, Issue 1-2, 2011, Pages 217-248

  Vialardi, César ^a   Chue, Jorge ^a   Peche, Juan Pablo ^a   Alvarado, Gustavo ^a   Vinatea, Bruno ^a   Estrella, Jhonny ^a   Ortigosa, Álvaro ^b  

^a UNIVERSIDAD DE LIMA   (Peru)

^b UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Data mining; Enrollment process; Machine learning; Predictive accuracy; Recommender systems; Supervised classification

Indexed keywords

ACADEMIC PERFORMANCE; APPLICATION DOMAINS; CRISP-DM; EDUCATION MANAGEMENT; ENROLLMENT PROCESS; K-NEAREST NEIGHBORS; LEARNING ENGINE; MACHINE-LEARNING; PREDICTIVE ACCURACY; STUDENT PERFORMANCE; SUPERVISED CLASSIFICATION; SYNTHETIC ATTRIBUTES;

DATA MINING; LEARNING SYSTEMS; RECOMMENDER SYSTEMS; STUDENTS; TEACHING;

INFORMATION MANAGEMENT;

EID: 79955843738     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-011-9098-4     Document Type: Article

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