Use data warehouse and data mining to predict student academic performance in schools: A case study (perspective application and benefits)

Proceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013

Volumn , Issue , 2013, Pages 98-103

  Kurniawan, Yohannes ^a   Halim, Erwin ^a  

^a BINA NUSANTARA UNIVERSITY   (Indonesia)

Author keywords

data mining; data warehouse; student performance

Indexed keywords

ACADEMIC PERFORMANCE; LOW ACHIEVERS; STUDENT PERFORMANCE;

DATA MINING; DATA WAREHOUSES; EDUCATION COMPUTING; ENGINEERING EDUCATION; SOCIETIES AND INSTITUTIONS; TEACHING;

STUDENTS;

EID: 84892637170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TALE.2013.6654408     Document Type: Conference Paper

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