Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma

Computer Methods and Programs in Biomedicine - Tập 83 - Trang 147-156 - 2006
Xiangyang Wang1, Jie Yang1, Richard Jensen2, Xiaojun Liu1
1Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, China
2Department of Computer Science, The University of Wales, Aberystwyth, UK

Tài liệu tham khảo

Bredel, 1999, The p21-Ras signal transduction pathway and growth regulation in human high-grade gliomas, Brain Res. Rev., 29, 232, 10.1016/S0165-0173(98)00057-5 Ye, 2002, Fuzzy rules to predict degree of malignancy in brain glioma, Med. Biol. Comput. Eng., 40, 145, 10.1007/BF02348118 Simpson, 1992, Fuzzy Min-Max Neural Networks. Part 1. Classification, IEEE Trans. Neural Networks, 3, 776, 10.1109/72.159066 Simpson, 1993, Fuzzy Min-Max Neural Networks. Part 2. Clustering, IEEE Trans. Fuzzy Syst., 1, 32, 10.1109/TFUZZ.1993.390282 Quinlan, 1986, Induction of decision trees, Mach. Learn., 1, 81, 10.1007/BF00116251 Zurada, 1992 Andrew, 1999 Lopez-Gonzalez, 2000, Brain tumors in Mexico: characteristics and prognosis of glioblastoma, Surg. Neurol., 53, 157, 10.1016/S0090-3019(99)00177-9 Pawlak, 1991 Hassanien, 2004, Rough set approach for attribute reduction and rule generation: a case of patients with suspected breast cancer, J. Am. Soc. Inform. Sci. Technol., 55, 954, 10.1002/asi.20042 Jan, 2001, Melanoma prediction using data mining system LERS (COMPSAC 2001), 615 Stefanowski, 1998, On rough set based approaches to induction of decision rules, vol. 1, 500 Grzymala-Busse, 1992, LERS-a system for learning from examples based on rough sets, 3 Komorowski, 1999, Modelling prognostic power of cardiac tests using rough sets, Artif. Intell. Med., 15, 167, 10.1016/S0933-3657(98)00051-7 Tsumoto, 2004, Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model, Inform. Sci., 162, 65, 10.1016/j.ins.2004.03.002 Bazan, 1998, A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables, 321 Bazan, 2000, Rough set algorithms in classification problems, vol. 56, 49 Wang, 2005, Finding minimal rough set reducts with particle swarm optimization, 451 Swiniarski, 2003, Rough set methods in feature selection and recognition, Pattern Recog. Lett., 24, 833, 10.1016/S0167-8655(02)00196-4 Skowron, 1992, The discernibility matrices and functions in information systems, 311 Hu, 2003, Feature ranking in rough sets, AI Commun., 16, 41 X. Hu, Knowledge Discovery in Databases: An Attribute-Oriented Rough Set Approach, Ph.D. Thesis, Regina University, 1995. Wang, 2004, Theoretical study on attribute reduction of rough set theory: comparison of algebra and information views Kennedy, 1995, Particle Swarm Optimization, 1942 Shi, 1998, A modified particle swarm optimizer, 69 Pawlak, 1997, Rough set approach to knowledge-based decision support, Eur. J. Operat. Res., 99, 48, 10.1016/S0377-2217(96)00382-7 Nguyen, 1996, Some efficient algorithms for rough set methods, 1451 Wang, 2002, Decision table reduction based on conditional information entropy, Chinese J. Comput., 25, 759 Shi, 1998, Parameter selection in particle swarm optimization, 591 Eberhart, 2001, Particle swarm optimization: developments, applications and resources, 81 Kennedy, 1995, A new optimizer using particle swarm theory, 39 Li, 2006, Degree prediction of malignancy in brain glioma using support vector machines, Comput. Biol. Med., 36, 313, 10.1016/j.compbiomed.2004.11.003 Shen, 2002, A rough-fuzzy approach for generating classification rules, Pattern Recog., 35, 2425, 10.1016/S0031-3203(01)00229-1 Jensen, 2004, Semantics-preserving dimensionality reduction: rough and fuzzy-rough based approaches, IEEE Trans. Knowl. Data Eng., 16, 1457, 10.1109/TKDE.2004.96 Jensen, 2004, Fuzzy-rough attribute reduction with application to web categorization, Fuzzy Sets Syst., 141, 469, 10.1016/S0165-0114(03)00021-6 R. Jensen, Combining Rough and Fuzzy Sets for Feature Selection, Ph.D. Thesis, Doctor of Philosophy, School of Informatics, University of Edinburgh, 2004.