Introduction to Granular Computing, Pattern Recognition and Data Mining

Natural Computing is a consortium of different methods and theories that are emerged from natural phenomena such as brain modeling, self-organization, self-repetition, self-evaluation, self-reproduction, group behavior, Darwinian survival , granulation and perception.

[1]  Yiyu Yao,et al.  MGRS: A multi-granulation rough set , 2010, Inf. Sci..

[2]  Zhudeng Wang,et al.  On fuzzy rough sets based on tolerance relations , 2010, Inf. Sci..

[3]  Sanghamitra Bandyopadhyay,et al.  Genetic operators for combinatorial optimization in TSP and microarray gene ordering , 2007, Applied Intelligence.

[4]  Lotfi A. Zadeh,et al.  A New Direction in AI: Toward a Computational Theory of Perceptions , 2001, AI Mag..

[5]  Teuvo Kohonen,et al.  The self-organizing map , 1990 .

[6]  Andrzej Skowron,et al.  Rough mereology: A new paradigm for approximate reasoning , 1996, Int. J. Approx. Reason..

[7]  Sankar K. Pal,et al.  Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing , 1999 .

[8]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[9]  Sankar K. Pal,et al.  Case generation using rough sets with fuzzy representation , 2004, IEEE Transactions on Knowledge and Data Engineering.

[10]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[11]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[12]  Abraham Kandel,et al.  Granular computing in neural networks , 2001 .

[13]  Athanasios V. Vasilakos,et al.  Granular neural networks for land use classification , 2005, Soft Comput..

[14]  Sankar K. Pal,et al.  Fuzzy Rough Granular Self Organizing Map , 2011, RSKT.

[15]  Saroj K. Meher,et al.  A novel approach to neuro-fuzzy classification , 2009, Neural Networks.

[16]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[17]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[18]  Abraham Kandel,et al.  Granular neural networks for numerical-linguistic data fusion and knowledge discovery , 2000, IEEE Trans. Neural Networks Learn. Syst..

[19]  Sankar K. Pal,et al.  Fuzzy–Rough Sets for Information Measures and Selection of Relevant Genes From Microarray Data , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[20]  Sankar K. Pal,et al.  A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray Data , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[21]  Sankar K. Pal,et al.  Fuzzy rough granular self-organizing map and fuzzy rough entropy , 2012, Theor. Comput. Sci..

[22]  Sankar K. Pal,et al.  Unsupervised feature evaluation: a neuro-fuzzy approach , 2000, IEEE Trans. Neural Networks Learn. Syst..

[23]  Ramin Yasdi,et al.  Combining Rough Sets Learning- and Neural Learning-method to deal with uncertain and imprecise information , 1995, Neurocomputing.

[24]  D. Dubois,et al.  ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .

[25]  Fuhui Long,et al.  Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Sankar K. Pal,et al.  Fuzzy models for pattern recognition : methods that search for structures in data , 1992 .

[27]  Sankar K. Pal,et al.  Pattern Recognition Algorithms for Data Mining , 2004 .

[28]  Richard Jensen,et al.  Unsupervised fuzzy-rough set-based dimensionality reduction , 2013, Inf. Sci..

[29]  Ludmila I. Kuncheva,et al.  Fuzzy Classifier Design , 2000, Studies in Fuzziness and Soft Computing.

[30]  Andrzej Skowron,et al.  Rough-Neural Computing , 2004, Cognitive Technologies.

[31]  Soumitra Dutta,et al.  Fuzzy rough granular neural networks, fuzzy granules, and classification , 2011, Theor. Comput. Sci..

[32]  D.E. Goldberg,et al.  Classifier Systems and Genetic Algorithms , 1989, Artif. Intell..

[33]  Hans-Peter Kriegel,et al.  OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.

[34]  Sankar K. Pal,et al.  Generalized Rough Sets, Entropy, and Image Ambiguity Measures , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[35]  Sankar K. Pal,et al.  Computational Theory Perception (CTP), Rough-Fuzzy Uncertainty Analysis and Mining in Bioinformatics and Web Intelligence: A Unified Framework , 2010, Trans. Rough Sets.

[36]  Pawan Lingras,et al.  Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets , 2004, Web Intell. Agent Syst..

[37]  Chris Cornelis,et al.  Attribute selection with fuzzy decision reducts , 2010, Inf. Sci..

[38]  Andrzej Skowron,et al.  Rough-Fuzzy Hybridization: A New Trend in Decision Making , 1999 .

[39]  Daniel A. Keim,et al.  An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.

[40]  C. A. Murthy,et al.  Rough set Based Ensemble Classifier forWeb Page Classification , 2007, Fundam. Informaticae.

[41]  Sankar K. Pal,et al.  Fuzzy rough sets, and a granular neural network for unsupervised feature selection , 2013, Neural Networks.

[42]  Sankar K. Pal,et al.  Robust Granular Neural Networks, Fuzzy Granules and Classification , 2010, RSKT.

[43]  R. Bellman,et al.  Abstraction and pattern classification , 1996 .

[44]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[45]  Sankar K. Pal,et al.  Rough fuzzy MLP: knowledge encoding and classification , 1998, IEEE Trans. Neural Networks.

[46]  Antanas Verikas,et al.  Feature selection with neural networks , 2002, Pattern Recognit. Lett..

[47]  Jung-Hsien Chiang,et al.  A Combination of Rough-Based Feature Selection and RBF Neural Network for Classification Using Gene Expression Data , 2008, IEEE Transactions on NanoBioscience.

[48]  Witold Pedrycz,et al.  Granular neural networks , 2001, Neurocomputing.

[49]  Sankar K. Pal,et al.  Multispectral image segmentation using the rough-set-initialized EM algorithm , 2002, IEEE Trans. Geosci. Remote. Sens..

[50]  Andrzej Skowron,et al.  Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application , 2000, Rough Sets and Current Trends in Computing.

[51]  Andrzej Skowron,et al.  Rough sets and Boolean reasoning , 2007, Inf. Sci..

[52]  Sankar K. Pal,et al.  Rough Fuzzy Image Analysis: Foundations and Methodologies , 2010 .

[53]  Sankar K. Pal,et al.  Roughness of a Fuzzy Set , 1996, Inf. Sci..

[54]  Sankar K. Pal,et al.  Rough Self Organizing Map , 2004, Applied Intelligence.

[55]  Sankar K. Pal,et al.  Fuzzy Mathematical Approach to Pattern Recognition , 1986 .

[56]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[57]  Sankar K. Pal,et al.  Self-organizing neural network as a fuzzy classifier , 1994, IEEE Trans. Syst. Man Cybern..

[58]  Qiang Shen,et al.  New Approaches to Fuzzy-Rough Feature Selection , 2009, IEEE Transactions on Fuzzy Systems.

[59]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[60]  Yanqing Zhang,et al.  Granular Neural Networks With Evolutionary Interval Learning , 2008, IEEE Transactions on Fuzzy Systems.

[61]  Jingtao Yao,et al.  A granular computing framework for self-organizing maps , 2009, Neurocomputing.

[62]  Tsau Young Lin,et al.  Rough Set Methods and Applications , 2000 .

[63]  K. Anitha,et al.  Rough Neural Network , 2016 .

[64]  Sanghamitra Bandyopadhyay,et al.  Combining Multisource Information Through Functional-Annotation-Based Weighting: Gene Function Prediction in Yeast , 2009, IEEE Transactions on Biomedical Engineering.

[65]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[66]  Sanghamitra Bandyopadhyay,et al.  Gene ordering in partitive clustering using microarray expressions , 2007, Journal of Biosciences.

[67]  Sankar K. Pal,et al.  Granular Social Network: Model and Applications , 2017, Handbook of Big Data Technologies.

[68]  László Györfi,et al.  A Probabilistic Theory of Pattern Recognition , 1996, Stochastic Modelling and Applied Probability.

[69]  Z. Pawlak Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[70]  Marcin Szczuka Refining classifiers with neural networks , 2001 .

[71]  Sankar K. Pal,et al.  Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation , 2003, IEEE Trans. Knowl. Data Eng..

[72]  Sankar K. Pal,et al.  Title Paper: Natural computing: A problem solving paradigm with granular information processing , 2013, Appl. Soft Comput..

[73]  Sankar K. Pal,et al.  Multilayer perceptron, fuzzy sets, and classification , 1992, IEEE Trans. Neural Networks.

[74]  Sankar K. Pal,et al.  A Novel Fuzzy Rough Granular Neural Network for Classification , 2011 .

[75]  S. C. Johnson Hierarchical clustering schemes , 1967, Psychometrika.

[76]  Andrzej Skowron,et al.  Rough-Neural Computing: Techniques for Computing with Words , 2004, Cognitive Technologies.

[77]  C. A. Murthy,et al.  Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[78]  Sankar K. Pal,et al.  Granular Mining and Rough-Fuzzy Pattern Recognition: A Way to Natural Computation , 2012, IEEE Intell. Informatics Bull..

[79]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[80]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[81]  Alexander J. Smola,et al.  Learning with Kernels: support vector machines, regularization, optimization, and beyond , 2001, Adaptive computation and machine learning series.

[82]  W. Pedrycz,et al.  OR/AND neuron in modeling fuzzy set connectives , 1994, IEEE Trans. Fuzzy Syst..

[83]  Stephen Grossberg,et al.  ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition , 1991, Neural Networks.

[84]  Sankar K. Pal,et al.  Review Neuro-fuzzy computing for image processing and pattern recognition , 1996, Int. J. Syst. Sci..

[85]  Pawan Lingras,et al.  Survey of Rough and Fuzzy Hybridization , 2007, 2007 IEEE International Fuzzy Systems Conference.

[86]  Yiyu Yao,et al.  A Partition Model of Granular Computing , 2004, Trans. Rough Sets.

[87]  Soumitra Dutta,et al.  Class-dependent rough-fuzzy granular space, dispersion index and classification , 2012, Pattern Recognit..

[88]  Andrzej Skowron,et al.  Rough sets: Some extensions , 2007, Inf. Sci..

[89]  Lotfi A. Zadeh,et al.  Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..