Quick attribute reduct algorithm for neighborhood rough set model

Article history: Received 25 June 2013 Received in revised form 7 January 2014 Accepted 11 February 2014 Available online 20 February 2014

[1]  Andrzej Skowron,et al.  Rudiments of rough sets , 2007, Inf. Sci..

[2]  Yue-Jin Lv,et al.  Application of Quantum Genetic Algorithm on Finding Minimal Reduct , 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

[3]  W. Li,et al.  Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation , 2011, Int. J. Approx. Reason..

[4]  Yiyu Yao,et al.  A Comparative Study of Fuzzy Sets and Rough Sets , 1998 .

[5]  Zexuan Zhu,et al.  Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  Huan Liu,et al.  Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..

[7]  Daniel Vanderpooten,et al.  A Generalized Definition of Rough Approximations Based on Similarity , 2000, IEEE Trans. Knowl. Data Eng..

[8]  Yiyu Yao,et al.  Covering based rough set approximations , 2012, Inf. Sci..

[9]  Qinghua Hu,et al.  Neighborhood rough set based heterogeneous feature subset selection , 2008, Inf. Sci..

[10]  Rajen B. Bhatt,et al.  On fuzzy-rough sets approach to feature selection , 2005, Pattern Recognit. Lett..

[11]  Qinghua Hu,et al.  Information-preserving hybrid data reduction based on fuzzy-rough techniques , 2006, Pattern Recognit. Lett..

[12]  Qiong Zhang,et al.  Rough Rule Extracting From Various Conditions: Incremental and Approximate Approaches for Inconsistent Data , 2008, Fundam. Informaticae.

[13]  Fei-Yue Wang,et al.  The fourth type of covering-based rough sets , 2012 .

[14]  Salvatore Greco,et al.  Rough approximation by dominance relations , 2002, Int. J. Intell. Syst..

[15]  Liu Shao A New Method for Fast Computing Positive Region , 2003 .

[16]  Shi Xiao-yan Attribute reduction algorithm based on rough set , 2008 .

[17]  Qinghua Hu,et al.  Fuzzy probabilistic approximation spaces and their information measures , 2006, IEEE Transactions on Fuzzy Systems.

[18]  Yong Liu,et al.  Feature Reduction with Inconsistency , 2010, Int. J. Cogn. Informatics Nat. Intell..

[19]  Shusaku Tsumoto A new framework for incremental rule induction based on rough sets , 2011, 2011 IEEE International Conference on Granular Computing.

[20]  Qinghua Hu,et al.  Neighborhood classifiers , 2008, Expert Syst. Appl..

[21]  Piotr Synak,et al.  Infobright Analytic Database Engine Using Rough Sets and Granular Computing , 2010, 2010 IEEE International Conference on Granular Computing.

[22]  Wei-Zhi Wu,et al.  Approaches to knowledge reductions in inconsistent systems , 2003, Int. J. Intell. Syst..

[23]  Chu Jian Quick Attribute Reduction Algorithm with Hash , 2009 .

[24]  Tsau Young Lin,et al.  First GrC model - Neighborhood Systems the most general rough set models , 2009, 2009 IEEE International Conference on Granular Computing.

[25]  Andrzej Skowron,et al.  Rough set methods in feature selection and recognition , 2003, Pattern Recognit. Lett..

[26]  Witold Pedrycz,et al.  Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[27]  Xizhao Wang,et al.  On the generalization of fuzzy rough sets , 2005, IEEE Transactions on Fuzzy Systems.

[28]  William Zhu,et al.  Relationship among basic concepts in covering-based rough sets , 2009, Inf. Sci..

[29]  Guoyin Wang,et al.  Quick Knowledge Reduction Based on Divide and Conquer Method in Huge Data Sets , 2007, PReMI.

[30]  William Zhu,et al.  On Three Types of Covering-Based Rough Sets , 2014, IEEE Transactions on Knowledge and Data Engineering.

[31]  Qiang Shen,et al.  Rough set-aided keyword reduction for text categorization , 2001, Appl. Artif. Intell..

[32]  Qinghua Hu,et al.  Mixed feature selection based on granulation and approximation , 2008, Knowl. Based Syst..

[33]  Huan Liu,et al.  Consistency-based search in feature selection , 2003, Artif. Intell..

[34]  Ning Zhong,et al.  Using Rough Sets with Heuristics for Feature Selection , 1999, Journal of Intelligent Information Systems.

[35]  Yiyu Yao,et al.  Granular Computing , 2008 .

[36]  Chien-Chung Chan,et al.  Combined rough sets with flow graph and formal concept analysis for business aviation decision-making , 2011, Journal of Intelligent Information Systems.

[37]  Wang Guo,et al.  Decision Table Reduction based on Conditional Information Entropy , 2002 .

[38]  Qiang Shen,et al.  Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches , 2004, IEEE Transactions on Knowledge and Data Engineering.

[39]  James F. Peters,et al.  Tolerance spaces: Origins, theoretical aspects and applications , 2012, Inf. Sci..

[40]  Mark A. Hall,et al.  Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.

[41]  Qinghua Hu,et al.  Rule learning for classification based on neighborhood covering reduction , 2011, Inf. Sci..

[42]  Andrzej Skowron,et al.  The Discernibility Matrices and Functions in Information Systems , 1992, Intelligent Decision Support.