Extracting highly positive association rules from students' enrollment data

• Main Authors: Zailani, Abdullah, Herawan, Tutut, Noraziah, Ahmad, Mustafa Mohamed, Mat Deris
• Format: Article
• Language: English
• Published: Elsevier Ltd. 2011
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/24799/1/Extracting%20highly%20positive%20association%20rules%20from%20students.pdf; http://umpir.ump.edu.my/id/eprint/24799/; https://doi.org/10.1016/j.sbspro.2011.11.022; https://doi.org/10.1016/j.sbspro.2011.11.022
• Institution: Universiti Malaysia Pahang

Association Rules Mining is one of the popular techniques used in data mining. Positive association rules are very useful in correlation analysis and decision making processes. In educational context, determine a “right” program to the students is very unclear especially when their chosen programs a...