Soft Computing Applications and Intelligent Systems
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Azuraliza Abu Bakar | Zulaiha Ali Othman | Shahnorbanun Sahran | Nazlia Omar | Haslina Arshad | Zalinda Othman | Azizi Abdullah | Shahrul Azman Mohd Noah | N. Omar | H. Arshad | A. Bakar | Z. Othman | S. Sahran | S. Noah | Z. Othman | A. Abdullah
[1] Laurene V. Fausett,et al. Fundamentals Of Neural Networks , 1993 .
[2] Salwani Abdullah,et al. Investigating composite neighbourhood structure for attribute reduction in rough set theory , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.
[3] Masao Fukushima,et al. Tabu search for attribute reduction in rough set theory , 2008, Soft Comput..
[4] Moshe Sipper,et al. A fuzzy-genetic approach to breast cancer diagnosis , 1999, Artif. Intell. Medicine.
[5] Kazuyuki Murase,et al. A new local search based hybrid genetic algorithm for feature selection , 2011, Neurocomputing.
[6] Qiang Shen,et al. Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches , 2004, IEEE Transactions on Knowledge and Data Engineering.
[7] Yasuo Kudo,et al. A sequential pattern mining algorithm using rough set theory , 2011, Int. J. Approx. Reason..
[8] Xiangyang Wang,et al. Feature selection based on rough sets and particle swarm optimization , 2007, Pattern Recognit. Lett..
[9] K. Thanushkodi,et al. A Novel Rough Set Reduct Algorithm for Medical Domain Based on Bee Colony Optimization , 2010, ArXiv.
[10] Zuren Feng,et al. An efficient ant colony optimization approach to attribute reduction in rough set theory , 2008, Pattern Recognit. Lett..
[11] Azuraliza Abu Bakar,et al. Discovering frequent serial episodes in symbolic sequences for rainfall dataset , 2012, 2012 4th Conference on Data Mining and Optimization (DMO).
[12] Meng Fan-xing,et al. Application of Improved SAX Algorithm to QAR Flight Data , 2012 .
[13] Qiang Shen,et al. Finding Rough Set Reducts with Ant Colony Optimization , 2003 .
[14] J. Kennedy,et al. Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[15] Zulaiha Ali Othman,et al. Bees algorithm for feature selection in network anomaly detection , 2012 .
[16] Ajith Abraham,et al. Nature Inspired Population-Based Heuristics for Rough Set Reduction , 2009 .
[17] Lijuan Liu,et al. An Evolutionary Artificial Neural Network Approach for Breast Cancer Diagnosis , 2010, 2010 Third International Conference on Knowledge Discovery and Data Mining.
[18] Thomas Roß,et al. Feature selection for optimized skin tumor recognition using genetic algorithms , 1999, Artif. Intell. Medicine.
[19] Salwani Abdullah,et al. Great Deluge Algorithm for Rough Set Attribute Reduction , 2010, FGIT-DTA/BSBT.
[20] Kazuyuki Murase,et al. A new hybrid ant colony optimization algorithm for feature selection , 2012, Expert Syst. Appl..
[21] Javad Rahimipour Anaraki,et al. Improving fuzzy-rough quick reduct for feature selection , 2011, 2011 19th Iranian Conference on Electrical Engineering.
[22] Er. Jasmeen Gill,et al. Training back propagation neural networks with genetic algorithm for weather forecasting , 2010, IEEE 8th International Symposium on Intelligent Systems and Informatics.
[23] G. Dueck. New optimization heuristics , 1993 .
[24] Mihai Caramihai,et al. Breast Cancer Treatment Evaluation based on Mammographic and Echographic Distance Computing , 2009 .
[25] Kittichai Lavangnananda,et al. Capability of Classification of Control Chart Patterns Classifiers Using Symbolic Representation Preprocessing and Evolutionary Computation , 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.
[26] Enhong Chen,et al. A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network , 2009, ISNN.
[27] Salwani Abdullah,et al. Modified great deluge for attribute reduction in rough set theory , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
[28] C. K. Chua,et al. Computer-Aided Breast Cancer Detection Using Mammograms: A Review , 2013, IEEE Reviews in Biomedical Engineering.
[29] Ali El-Zaart,et al. Feature extraction values for breast cancer mammography images , 2010, 2010 International Conference on Bioinformatics and Biomedical Technology.
[30] El-Ghazali Talbi,et al. Metaheuristics - From Design to Implementation , 2009 .
[31] Yahya Z. Arajy,et al. Hybrid variable neighbourhood search algorithm for attribute reduction in Rough Set Theory , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.
[32] Xiaofei Wang,et al. A reduct derived from feature selection , 2012, Pattern Recognit. Lett..
[33] H. P. Ambulgekar,et al. Approach of Neural Network to Diagnose Breast Cancer on three different Data Set , 2009, 2009 International Conference on Advances in Recent Technologies in Communication and Computing.
[34] Xin Yao,et al. Neural networks for breast cancer diagnosis , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[35] Nasser R. Sabar,et al. A constructive hyper-heuristics for rough set attribute reduction , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.