Applying variable precision rough set model for clustering student suffering study's anxiety

[1]  Z. Pawlak Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[2]  Wojciech Ziarko,et al.  Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..

[3]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .

[4]  Lawrence J. Mazlack,et al.  A Rough Set Approach in Choosing Partitioning Attributes , 2000 .

[5]  Feng-Hsu Wang,et al.  On Application of Rough Data Mining Methods to Automatic Construction of Student Models , 2001, PAKDD.

[6]  Wojciech Ziarko Set Approximation Quality Measures in the Variable Precision Rough Set Model , 2002, HIS.

[7]  Henry L. Harris,et al.  Helping Students Cope with Test Anxiety. ERIC Digest. , 2003 .

[8]  Joshua Zhexue Huang,et al.  Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values , 1998, Data Mining and Knowledge Discovery.

[9]  Rollin McCraty,et al.  Enhancing Emotional, Social, and Academic Learning With Heart Rhythm Coherence Feedback , 2005 .

[10]  Feng-Hsu Wang On acquiring classification knowledge from noisy data based on rough set , 2005, Expert Syst. Appl..

[11]  Dominik Slezak,et al.  The investigation of the Bayesian rough set model , 2005, Int. J. Approx. Reason..

[12]  Sujit S Sansgiry,et al.  Effect of students' perceptions of course load on test anxiety. , 2006, American journal of pharmaceutical education.

[13]  Andrzej Skowron,et al.  Rudiments of rough sets , 2007, Inf. Sci..

[14]  B B B X R X X,et al.  MMR : AN ALGORITHM FOR CLUSTERING CATEGORICAL DATA USING ROUGH SET THEORY , 2007 .

[15]  Kin Keung Lai,et al.  Variable precision rough set for group decision-making: An application , 2008, Int. J. Approx. Reason..