On Reduct Construction Algorithms
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[1] Duoqian Miao,et al. A Comparison of Rough Set Methods and Representative Inductive Learning Algorithms , 2003, Fundam. Informaticae.
[2] A. F. Adams,et al. The Survey , 2021, Dyslexia in Higher Education.
[3] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Miao Duo,et al. An Information Representation of the Concepts and Operations in Rough Set Theory , 1999 .
[5] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[6] Theresa Beaubouef,et al. Information-Theoretic Measures of Uncertainty for Rough Sets and Rough Relational Databases , 1998, Inf. Sci..
[7] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[8] Jan G. Bazan,et al. Rough set algorithms in classification problem , 2000 .
[9] Qiang Shen,et al. A modular approach to generating fuzzy rules with reduced attributes for the monitoring of complex systems , 2000 .
[10] Dominik Ślęzak,et al. Various approaches to reasoning with frequency based decision reducts: a survey , 2000 .
[11] Kai Zhao,et al. A reduction algorithm meeting users’ requirements , 2008, Journal of Computer Science and Technology.
[12] Wojciech Ziarko,et al. Data mining tasks and methods: Rule discovery: rough set approaches for discovering rules and attribute dependencies , 2002 .
[13] Jerzy W. Grzymala-Busse,et al. LERS-A System for Learning from Examples Based on Rough Sets , 1992, Intelligent Decision Support.
[14] Ron Kohavi,et al. Irrelevant Features and the Subset Selection Problem , 1994, ICML.
[15] Wang Guo,et al. Decision Table Reduction based on Conditional Information Entropy , 2002 .
[16] XIAOHUA Hu,et al. LEARNING IN RELATIONAL DATABASES: A ROUGH SET APPROACH , 1995, Comput. Intell..
[17] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[18] Wei-Zhi Wu,et al. Approaches to knowledge reduction based on variable precision rough set model , 2004, Inf. Sci..
[19] Xiaohua Hu,et al. Using rough sets theory and database operations to construct a good ensemble of classifiers for data mining applications , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[20] Wang Jue,et al. A reduction algorithm meeting users' requirements , 2002 .
[21] Andrzej Skowron,et al. The Discernibility Matrices and Functions in Information Systems , 1992, Intelligent Decision Support.
[22] Roman W. Świniarski,et al. Rough sets methods in feature reduction and classification , 2001 .
[23] Andrzej Czyzewski,et al. Rough Set Methods and Applications , 1998, Rough Sets and Current Trends in Computing.
[24] Liu San. Multivalued rough set based attribute reduction algorithm , 2003 .
[25] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[26] Cecylia Rauszer. Reducts in information systems , 1991, Fundam. Informaticae.
[27] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[28] Wang Ju,et al. Reduction algorithms based on discernibility matrix: The ordered attributes method , 2001, Journal of Computer Science and Technology.
[29] Qiang Shen,et al. A Rough Set-Aided System for Sorting WWW Bookmarks , 2001, Web Intelligence.