Similarity-based Rough Sets and Its Applications in Data Mining
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[1] Tamás Mihálydeák. Logic on Similarity Based Rough Sets , 2018, IJCSR.
[2] Salvatore Greco,et al. Parameterized rough set model using rough membership and Bayesian confirmation measures , 2008, Int. J. Approx. Reason..
[3] Moshe Tennenholtz,et al. Ranking systems: the PageRank axioms , 2005, EC '05.
[4] Ivo Düntsch,et al. Approximation Operators in Qualitative Data Analysis , 2003, Theory and Applications of Relational Structures as Knowledge Instruments.
[5] Tamás Mihálydeák,et al. Similarity Based Rough Sets with Annotation , 2018, IJCSR.
[6] Daniel Delic,et al. Improving the Quality of Association Rule Mining by Means of Rough Sets , 2002 .
[7] Jerzy W. Grzymala-Busse,et al. LERS-A System for Learning from Examples Based on Rough Sets , 1992, Intelligent Decision Support.
[8] Andrzej Skowron,et al. Tolerance Approximation Spaces , 1996, Fundam. Informaticae.
[9] Decui Liang,et al. Decision-Theoretic Rough Sets with Probabilistic Distribution , 2012, RSKT.
[10] Zoltán Csajbók,et al. Partial approximative set theory: A generalization of the rough set theory , 2010, 2010 International Conference of Soft Computing and Pattern Recognition.
[11] Martin Aigner,et al. Enumeration via ballot numbers , 2008, Discret. Math..
[12] Paulo Martins Engel,et al. Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset , 2002, Rough Sets and Current Trends in Computing.
[13] Tamás Mihálydeák,et al. Different Types of Search Algorithms for Rough Sets , 2019, Acta Cybern..
[14] Degang Chen,et al. Novel algorithms of attribute reduction with variable precision rough set model , 2014, Neurocomputing.
[15] W. Zakowski. APPROXIMATIONS IN THE SPACE (U,π) , 1983 .
[16] D. Dubois,et al. ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .
[17] Daniel Vanderpooten,et al. A Generalized Definition of Rough Approximations Based on Similarity , 2000, IEEE Trans. Knowl. Data Eng..
[18] Rafael Bello,et al. Improving the k-NN method: Rough Set in edit training set , 2006, IFIP PPAI.
[19] László Aszalós,et al. Iterative Set Approximations Based on Tolerance Relation , 2019, IJCRS.
[20] B. Bollobás. The evolution of random graphs , 1984 .
[21] Rafael Bello,et al. Rough Sets in Machine Learning: A Review , 2017 .
[22] László Aszalós,et al. Approximation Based on Representatives , 2019, IJCRS.
[23] Andrzej Lenarcik,et al. Discretization of Condition Attributes Space , 1992, Intelligent Decision Support.
[24] Davide Ciucci,et al. On Definability and Approximations in Partial Approximation Spaces , 2014, RSKT.
[25] Jason Brownlee,et al. Clever Algorithms: Nature-Inspired Programming Recipes , 2012 .
[26] S. K. Michael Wong,et al. Rough Sets: Probabilistic versus Deterministic Approach , 1988, Int. J. Man Mach. Stud..
[27] Salvatore Greco,et al. Fuzzy Similarity Relation as a Basis for Rough Approximations , 1998, Rough Sets and Current Trends in Computing.
[28] A. Mani,et al. Choice inclusive general rough semantics , 2011, Inf. Sci..
[29] Avrim Blum,et al. Correlation Clustering , 2004, Machine Learning.
[30] Jugal K. Kalita,et al. A rough set-based effective rule generation method for classification with an application in intrusion detection , 2013, Int. J. Secur. Networks.
[31] Dominik Slezak,et al. The investigation of the Bayesian rough set model , 2005, Int. J. Approx. Reason..
[32] Yiyu Yao,et al. Decision-Theoretic Rough Set Models , 2007, RSKT.
[33] Yiyu Yao. Combination of Rough and Fuzzy Sets Based on α-Level Sets , 1997 .
[34] Andrzej Skowron,et al. Rudiments of rough sets , 2007, Inf. Sci..
[35] Tamás Mihálydeák,et al. Finding the representative in a cluster using correlation clustering , 2019, Pollack Periodica.
[36] Andrzej Janusz,et al. Algorithms for Similarity Relation Learning from High Dimensional Data , 2014, Trans. Rough Sets.
[37] László Aszalós,et al. Visualization of tolerance relations , 2018 .
[38] D. Dubois,et al. Twofold fuzzy sets and rough sets—Some issues in knowledge representation , 1987 .
[39] Andrzej Skowron,et al. Rough set methods in feature selection and recognition , 2003, Pattern Recognit. Lett..
[40] Yiyu Yao,et al. Covering based rough set approximations , 2012, Inf. Sci..
[41] Qinghua Hu,et al. Neighborhood rough set based heterogeneous feature subset selection , 2008, Inf. Sci..
[42] L. Hajdu,et al. On a correlational clustering of integers , 2014, ArXiv.
[43] Tamás Mihálydeák,et al. From Vagueness to Rough Sets in Partial Approximation Spaces , 2014, RSEISP.
[44] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[45] Arthur Zimek,et al. Correlation clustering , 2009, SKDD.
[46] Tamás Mihálydeák,et al. A General Set Theoretic Approximation Framework , 2012, IPMU.
[47] Yiyu Yao,et al. Probabilistic Rough Sets , 2015, Handbook of Computational Intelligence.
[48] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[49] R. Mises,et al. Praktische Verfahren der Gleichungsauflösung . , 1929 .
[50] Hung Son Nguyen,et al. Discretization Problem for Rough Sets Methods , 1998, Rough Sets and Current Trends in Computing.
[51] David A. Bell,et al. The rough set approach to association rule mining , 2003, Third IEEE International Conference on Data Mining.
[52] Andrzej Skowron,et al. Rough sets: Some extensions , 2007, Inf. Sci..
[53] Rafael Bello,et al. A method to build similarity relations into extended Rough Set Theory , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.
[54] Z. Néda,et al. Correlation clustering on networks , 2009 .
[55] Tamás Mihálydeák,et al. Similarity Based Rough Sets , 2017, IJCRS.