Fuzzy-Rough Set Bireducts for Data Reduction
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Ren Diao | Richard Jensen | Neil Mac Parthaláin | Richard Jensen | N. M. Parthaláin | R. Diao | Ren Diao
[1] Richard Jensen,et al. Simultaneous feature and instance selection using fuzzy-rough bireducts , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[2] Spiridon D. Likothanassis,et al. Integrating feature and instance selection for text classification , 2002, KDD.
[3] Didier Dubois,et al. Putting Rough Sets and Fuzzy Sets Together , 1992, Intelligent Decision Support.
[4] Francisco Herrera,et al. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification , 2015, IEEE Transactions on Fuzzy Systems.
[5] Qiang Shen,et al. Finding rough and fuzzy-rough set reducts with SAT , 2014, Inf. Sci..
[6] Qiang Shen,et al. New Approaches to Fuzzy-Rough Feature Selection , 2009, IEEE Transactions on Fuzzy Systems.
[7] Anna Maria Radzikowska,et al. A comparative study of fuzzy rough sets , 2002, Fuzzy Sets Syst..
[8] Vicenç Torra,et al. Modeling decisions - information fusion and aggregation operators , 2007 .
[9] Qiang Shen,et al. Heuristic search for fuzzy-rough bireducts and its use in classifier ensembles , 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[10] Dirk Van,et al. Ensemble Methods: Foundations and Algorithms , 2012 .
[11] Qiang Shen,et al. Feature Selection With Harmony Search , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[12] Chris Cornelis,et al. Fuzzy-rough instance selection , 2010, International Conference on Fuzzy Systems.
[13] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[14] Chris Cornelis,et al. Fuzzy-rough nearest neighbour classification and prediction , 2011, Theor. Comput. Sci..
[15] Dominik Slezak,et al. Ensembles of Bireducts: Towards Robust Classification and Simple Representation , 2011, FGIT.
[16] William W. Cohen. Fast Effective Rule Induction , 1995, ICML.
[17] Ron Kohavi,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998 .
[18] Dominik Slezak,et al. Recent Advances in Decision Bireducts: Complexity, Heuristics and Streams , 2013, RSKT.
[19] Sebastian Widz,et al. Decision bireducts and approximate decision reducts: Comparison of two approaches to attribute subset ensemble construction , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).
[20] Ian H. Witten,et al. Generating Accurate Rule Sets Without Global Optimization , 1998, ICML.
[21] Li Dengfeng,et al. New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions , 2002, Pattern Recognit. Lett..
[22] Dengfeng Li,et al. New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions , 2002, Pattern Recognit. Lett..
[23] Chris Cornelis,et al. Attribute selection with fuzzy decision reducts , 2010, Inf. Sci..
[24] Mykola Pechenizkiy,et al. Diversity in search strategies for ensemble feature selection , 2005, Inf. Fusion.
[25] Richard Jensen,et al. Unsupervised fuzzy-rough set-based dimensionality reduction , 2013, Inf. Sci..