Mining significant association rules from educational data using critical relative support approach

• Main Authors: Zailani, Abdullah, Herawan, Tutut, Noraziah, Ahmad, Mustafa, Mat Deris
• Format: Article
• Language: English
• Published: Elsevier Ltd. 2011
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/24805/1/Mining%20significant%20association%20rules%20from%20educational%20data%20using%20critical%20relative%20support%20approach.pdf; http://umpir.ump.edu.my/id/eprint/24805/; https://doi.org/10.1016/j.sbspro.2011.11.020; https://doi.org/10.1016/j.sbspro.2011.11.020
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

Least association rules are the association rules that consist of the least item. These rules are very important and critical since they can be used to detect the infrequent events and exceptional cases. However, the formulation of measurement to efficiently discover least association rules is quite...