Mining Critical Least Association Rules from Students Suffering Study Anxiety Datasets

• Main Authors: Tutut, Herawan, Haruna, Chiroma, Prima, Vitasari, Zailani, Abdullah, Maizatul Akmar, Ismail, Mohd Khalit, Othman
• Format: Article
• Language: English
• Published: Springer 2015
• Subjects: Q Science (General); QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/12361/1/Mining%20Critical%20Least%20Association%20Rules%20from%20Students%20Suffering%20Study%20Anxiety%20Darasets.pdf; http://umpir.ump.edu.my/id/eprint/12361/; http://link.springer.com/article/10.1007/s11135-014-0125-5
• Institution: Universiti Malaysia Pahang

In data mining, association rules mining is one of the common and popular techniques used in various domain applications. The purpose of this study is to apply an enhanced association rules mining method, so called significant least pattern growth for capturing interesting rules from students suffer...