24 International Journal of Knowledge and Systems Science, 3(2), 24-41, April-June 2012 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Keywords: Critical Least Support, Effcient, Least Association Rules, Mathematics Anxiety, Signifcant Least Pattern Growth (SLP-Growth) INTRODUCTION Anxiety is a psychological and physiological response to treat a self-concept characterized by subjective, consciously perceived feelings of tension (Spielberger & Vagg, 1995, Vi- tasari, Wahab, Herawan, Sinnadurai, Othman, & Awang, 2011; Vitasari, Wahab, Herawan, & Sinnadurai, 2011). Anxious students have experience of cognitive deficits like misappre- hension of information or blocking of memory and recall (Vitasari, Wahab, Herawan, Othman, & Sinnadurai, 2011). Anxiety response to mathematics is a significant concern in terms of the perception that high anxiety will relate to avoidance of mathematic tasks (Erden & Akgul, 2010). Mathematics anxiety is one of the psycho-physiological barriers that students en- counter when they are performing a mathemat- ics task (Vitasari, Herawan, Wahab, Othman, & Sinnadurai, 2010; Vitasari, Wahab, Ahmad, Herawan, & Sinnadurai, 2010; Vitasari et al., Mining Interesting Association Rules of Students Suffering Study Anxieties Using SLP-Growth Algorithm Tutut Herawan, Universiti Malaysia Pahang, Malaysia Prima Vitasari, Universiti Malaysia Pahang, Malaysia Zailani Abdullah, Universiti Malaysia Terengganu, Malaysia ABSTRACT One of the most popular techniques used in data mining applications is association rules mining. The purpose of this study is to apply an enhanced association rules mining method, called SLP-Growth (Signifcant Least Pattern Growth) for capturing interesting rules from students suffering mathematics and examination anxiet- ies datasets. The datasets were taken from a survey exploring study anxieties among engineering students in Universiti Malaysia Pahang (UMP). The results of this research provide useful information for educators to make decisions on their students more accurately and adapt their teaching strategies accordingly. It also can assist students in handling their fear of mathematics and examination and increase the quality of learning. DOI: 10.4018/jkss.2012040102