An effective combination based on class-wise expertise of diverse classifiers for predictive toxicology data mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4093 LNAI, Issue , 2006, Pages 165-172

  Neagu, Daniel ^a   Guo, Gongde ^a,b   Wang, Shanshan ^c  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

^b FUJIAN NORMAL UNIVERSITY   (China)

^c NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION MAKING; ERROR ANALYSIS; LEARNING ALGORITHMS; TOXICITY; TREES (MATHEMATICS); DECISION TREES; SUPPORT VECTOR MACHINES;

INSTANCE-BASED LEARNING ALGORITHM (IBL); MULTIPLE-CLASSIFIER SYSTEM; PREDICTIVE TOXICOLOGY; SUPPORT VECTOR MACHINE (SVM); CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; COMBINATION OPERATORS; DECISION TREE LEARNING ALGORITHM; INSTANCE BASED LEARNING; MULTI-LAYER PERCEPTRONS (MLPS); MULTIPLE CLASSIFIER SYSTEMS; TOXICITY PREDICTIONS;

CLASSIFICATION (OF INFORMATION);

EID: 33749376860     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11811305_18     Document Type: Conference Paper

References (15)

1. Michie, D., Spiegelhalter, D. J. and Taylor, C. C. Machine Learning, Neural and Statistical Classification, Ellis Horwood, (1994)
2. Ho, T.K., Hull, J.J. and Srihari, S. N. Decision Combination in Multiple Classifier Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 16, Issue 1, (1994) 66-75
3. Baykut, A. and Ercil, A. Towards Automated Classifier Combination for Pattern Recognition. Multiple Classifier Systems, Springer Verlag, 2003, T. Wideatt, Fabio Roli (eds.), (2003) 94-105
4. Nadal, C., Legault, R. and Suen, C. Y. Complementary Algorithms for the Recognition of Totally Unconstrained Hand Written Numeral. In Proc. of the 10th International Conference on Pattern Recognition, Volume A (1990) 434-449
5. Saerens, M. and Fouss. F. Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. In Proc. of MCS'04, the 5th International Workshop on Multiple Classifier Systems, LNCS 3077, (2004) 82-91
6. Zhang, B. and Srihari, S.N. Class-Wise Multi-Classifier Combination Based on Dempster-Shafer Theory. In Proc. of ICARV'02, (2002)
7. Bi, Y., Bell, D., Wang, H., Guo, G. and Greer, K. Combining Multiple Classifiers Using Dempster-Shafer's Rule for Text Categorization. In Proc. of MDAI'04, LNCS 313/2004, (2004) pp.127-138
8. Xu, L., Krzyzak, A. and Suen, C. Methods of Combination Multiple Classifiers and Their Applications to Handwritten Recognition. IEEE Transactions on Systems, Man and Cybernetics, SMC-22(3): 418-435, May/June 1992.
9. Guo, G. and Neagu, D. Similarity-based Classifier Combination for Decision Making, IEEE International Conference on Systems, Man and Cybernetics (SMC'05) Hawaii, USA, (2005) 176-181
10. Neagu, D. and Palade, V. Modular Neuro-Fuzzy Networks: An Overview of Explicit and Implicit Knowledge Integration. In Proc. of the 15th International FLAIRS-02 Conference, Special Track on Integrated Intelligent Systems, 14-16 May 2002, Pensacola, Florida, USA, AAAI Press, (2002) 277-281
11. Kuncheva, L. I. Combining Classifiers: Soft Computing Solutions. In: S.K. Pal (Eds.) Pattern Recognition: From Classical to Modern Approaches, World Scientific, Singapore, (2001) 427-452
12. EU FP5 Quality of Life DEMETRA QLRT-2001-00691: Development of Environmental Modules for Evaluation of Toxicity of pesticide Residues in Agriculture (http://www.demetra-tox.net).
13. CSL (Central Science Laboratory York): Development of Artificial Intelligence-based Insilico Toxicity Models for Use in Pesticide Risk Assessment, 2004-2007 (http://www.csl.gov.uk).
14. Schultz, T.W. TETRATOX: Tetrahymena Pyriformis Population Growth Impairment Endpoint - A Surrogate for Fish Lethality. Toxicol. Methods 7: (1997) 289-309
15. Witten, I.H. and Frank, G. Data Mining: Practical Machine Learning Tools with Java Implementations, Morgan Kaufmann, San Francisco (2000)