Extracting highly positive association rules from students' enrollment data

• 主要な著者: Zailani, Abdullah, Herawan, Tutut, Noraziah, Ahmad, Mustafa Mohamed, Mat Deris
• フォーマット: 論文
• 言語: English
• 出版事項: Elsevier Ltd. 2011
• 主題: QA76 Computer software
• オンライン･アクセス: 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

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...