Applying variable precision rough set model for clustering student suffering study's anxiety
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Mustafa Mat Deris | Iwan Tri Riyadi Yanto | Tutut Herawan | Prima Vitasari | M. M. Deris | T. Herawan | I. R. Yanto | P. Vitasari
[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..