An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification
暂无分享,去创建一个
[1] Jerzy W. Grzymala-Busse,et al. Probabilistic rule induction with the LERS data mining system , 2011, Int. J. Intell. Syst..
[2] Yiyu Yao,et al. A comparison of positive, boundary, and possible rules using the MLEM2 rule induction algorithm , 2010, 2010 10th International Conference on Hybrid Intelligent Systems.
[3] Yiyu Yao,et al. Three-way decisions with probabilistic rough sets , 2010, Inf. Sci..
[4] Yiyu Yao,et al. Interpreting Concept Learning in Cognitive Informatics and Granular Computing , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[5] Jerzy W. Grzymala-Busse,et al. A Comparison of the LERS Classification System and Rule Management in PRSM , 2008, RSCTC.
[6] Wojciech Ziarko,et al. Probabilistic approach to rough sets , 2008, Int. J. Approx. Reason..
[7] Yiyu Yao,et al. Probabilistic rough set approximations , 2008, Int. J. Approx. Reason..
[8] Yiyu Yao,et al. Decision-Theoretic Rough Set Models , 2007, RSKT.
[9] Jerzy W. Grzymala-Busse,et al. Data mining based on rough sets , 2003 .
[10] Shusaku Tsumoto,et al. Accuracy and Coverage in Rough Set Rule Induction , 2002, Rough Sets and Current Trends in Computing.
[11] Yiyu Yao,et al. An Analysis of Quantitative Measures Associated with Rules , 1999, PAKDD.
[12] Jerzy W. Grzymala-Busse,et al. A New Version of the Rule Induction System LERS , 1997, Fundam. Informaticae.
[13] Jerzy W. Grzymala-Busse,et al. Global discretization of continuous attributes as preprocessing for machine learning , 1996, Int. J. Approx. Reason..
[14] Hiroshi Tanaka,et al. PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS , 1995, Comput. Intell..
[15] Wojciech Ziarko,et al. Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..
[16] Yiyu Yao,et al. A Decision Theoretic Framework for Approximating Concepts , 1992, Int. J. Man Mach. Stud..
[17] Ronald R. Yager,et al. Applications and Extensions of OWA Aggregations , 1992, Int. J. Man Mach. Stud..
[18] Jerzy W. Grzymala-Busse,et al. LERS-A System for Learning from Examples Based on Rough Sets , 1992, Intelligent Decision Support.
[19] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[20] D.E. Goldberg,et al. Classifier Systems and Genetic Algorithms , 1989, Artif. Intell..
[21] S. K. Michael Wong,et al. Rough Sets: Probabilistic versus Deterministic Approach , 1988, Int. J. Man Mach. Stud..
[22] Jerzy W. Grzymala-Busse,et al. Knowledge acquisition under uncertainty — a rough set approach , 1988, J. Intell. Robotic Syst..
[23] John H. Holland,et al. Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.
[24] Zdzislaw Pawlak,et al. Rough classification , 1984, Int. J. Hum. Comput. Stud..
[25] Tom M. Mitchell,et al. Generalization as Search , 2002 .