A choquet integral-based multi-class classifier and its applications on the prediction of membrane protein types

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn , Issue , 2008, Pages

  Campos, Carlos ^a   Pelayo, Lourdes ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AMINOACIDS; CHOQUET INTEGRAL; CLASSIFICATION ACCURACY; FUZZY MEASURES; GLOBAL SCORE; INDIVIDUAL CLASSIFIERS; INFORMATION CONTENTS; INFORMATION-BASED STRATEGY; INTERNATIONAL JOURNALS; MEMBRANE PROTEINS; MULTI-CLASS CLASSIFIER; MULTI-PASS; PARTIAL EVALUATION; TRAINING DATASET; TYPE II; UNSUPERVISED METHOD;

CLASSIFIERS; DATA PROCESSING; INTEGRAL EQUATIONS; INTELLIGENT SYSTEMS; PROTEINS;

LEARNING SYSTEMS;

EID: 67649449280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2008.4531324     Document Type: Conference Paper

References (36)

1. Kojadinovic Ivan, "Unsupervised aggregation of commensurate correlated attributes by means of the Choquet Integral and Entropy Functionals". International Journal of Intelligent Systems. Vol. 23, pp. 128-154, 2008.
2. G. Choquet, "Theory of capacities". Annales de l'Institut Fourier, vol. 5, pp. 131-295, 1953.
3. Beliakov G., "Aggregation Functions: A Guide for Practitioners" . Studies in Fuzziness and Soft Computing. Gleb Beliakov , Ana Pradera, Tomasa Calvo. 2007.
4. Grabisch M., "Modeling data by the Choquet integral. Information fusion in Data Mining". Physica Verlag, Heidelberg, pp. 135-148. 2003.
5. Grabisch M., "Fuzzy integral for classification and feature extraction in fuzzy measures and integrals". Theory and applications. Physica. 2000.
6. K. C. Chou, "Prediction of protein cellular attributes using pseudo amino acid composition". Proteins: Structure, Function, and Genetics, vol. 43, pp. 246 - 255, 2001.
7. D. Denneberg, "Non-Additive Measure and Integral". Boston: Kluwer, 1994.
8. T. Murofushi and M. Sugeno, "Some quantities represented by the Choquet integral". Fuzzy Sets and Systems, vol. 56, pp. 229-235, 1993.
9. M. Sugeno, "Theory of fuzzy integrals and its applications". Ph.D. dissertation Tokyo, Japan: Tokyo Institute of Technology, 1974.
10. Z. Wang and G. J. Klir, "Fuzzy Measure Theory". New York: Plenum Press, 1992.
11. Grabisch M.; Roubens M., "Application of the Choquet integral in multicriteria decision making". Fuzzy Measures and Integrals - Theory and Applications, T. M. Grabisch, and M. Sugeno, Ed., Ed. Berlin, Germany: Springer-Verlag, pp. 348-374, 2000.
12. Murofushi T.; Sugeno M., "The Choquet integral in multiattribute decision making", in Fuzzy Measure and Integrals, T. M. M. Grabisch, M. Sugeno (Eds.), Ed. New York: Physica-verlag, pp. 333-347, 2000.
13. M. Grabisch and J. M. Nicolas, "Classification by fuzzy integral: Performance and Tests". Fuzzy Sets and Systems, vol. 65, pp. 255-271, 1994.
14. M. Grabisch, "A new algorithm for identifying fuzzy measures and its application to pattern recognition". Proc. Joint Conf. 4th IEEE Int. Conf. Fuzzy Syst. 2nd Int. Fuzzy Eng. Symp., pp. 145-150, 1995.
15. L. Mikenina and H.-J. Zimmermann, "Improved feature selection and classification by the 2-additive fuzzy measure". Fuzzy Sets and Systems, vol. 107, pp. 197-218, 1999.
16. M. Grabisch, I. Kojadinovic, and P. Meyer, "A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package". European Journal of Operational Research, vol. 186, pp. 766-785, 2008.
17. S.-Q. Wang, J. Yang, and K.-C. Chou, "Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition". Journal of Theoretical Biology, vol. 242, pp. 941-946, 2006.
18. H.-B. Shen, J. Yang, and K.-C. Chou, "Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition," Journal of Theoretical Biology, vol. 240, pp. 9-13, 2006.
19. J. M. Keller, M. R. Gray, and J. A. Givens, "A fuzzy k-nearest neighbors algorithm". IEEE Transactions in Sytems, Man and Cybernetics, vol. 15, pp. 580-585, 1985.
20. J.M.Keller, F.D.Gader, and A.K.Hocaoglu, "Fuzzy integrals in image processing and recognition," in Fuzzy Measures and Integrals - Theory and Applications, T. M, M.Grabisch, M.Sugeno, Ed.: Physica Verlag, pp. 435-466, 2000.
21. M.Grabisch, "Fuzzy integrals for classification and feature extraction". Fuzzy Measures and Integrals - Theory and Applications, T. M. M.Grabisch, M.Sugeno, Ed.: Physica Verlag, pp. 435-466, 2000.
22. J. Sayyad Shirabad and T. J. Menzies, "The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering" University of Ottawa, 2005.
23. K. Guruprasad, B. V. B. Reddy, and M. W. Pandit, "Correlation between stability of a protein and its dipeptide composition: a novel approach for predicting in vivo stability of a protein from its primary sequence," Protein Engineering Design and Selection, vol. 4, pp. 155-161, 1990.
24. C. Wu, M. Berry, S. Shivakumar, and J. McLarty, "Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition". Machine Learning, vol. 21, pp. 177-193, 1995.
25. P. Perner and A. Imiya, "Machine Learning and Data Mining in Pattern Recognition," in 4th International Conference on Machine Learning and Data Mining in Pattern Recognition, Leipzig, Germany, 2005.
26. H.B. Shen, "Using ensemble classifier to identify membrane protein types" Aminoacids, vol. 32, pp. 483-488, 2006.
27. Theodoridis S. Pattern Recognition. Second Edition. Elsevier Academic Press.2003.
28. K. Chou, C. Zhang, "Predicting protein folding types by distance functions that make allowances for aminoacid interaction". J. Biol. Chem.,pp. 22014-22020, 1994.
29. M. Popescu, J.M. Keller, "Fuzzy measures on the gene ontology for gene products similarity". IEEE/ACM Transaction on Computational Biology and Bioinformatics, Vol.3,pp. 263-274, 2006.
30. M. Grabisch, C. Labreuche, " A decade of applications of the Choquet and Sugeno Integral in multicriteria decision aid".A quartely journal operation research. Vol. 6, issue 1,2008.
31. Kojadinovic I., "Unsupervized aggregation by the discrete Choquet integral based on entropy functionals: Application to the evaluation of students". In modeling decisions for artificial intelligence. Lecture Notes in Artificial Intelligence. Vol. 3131. Berlin: Springer-Verlag, pp. 163-174. Barcelona Spain. 2004.
32. Karmeshu, J. Karmeshu., "Entropy Measures, Maximum Entropy Principle and Emerging Applications". Springer Verlag. 2003.
33. Golmohammadi K, Kurgan LA, Crowley B, Reformat M, 2007. Classification of Cell Membrane Proteins, Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies,(FBIT'07), 153-159, Jeju Island, Korea, IEEE. 2007.
34. I.H. Witten, E. frank., " Data Mining: Practical Machine Learning Tools and technics". Second Edition. San Francisco: Morgan Kaufmann, 2005.
35. Kenneth H. Lundstrom, "Structural Genomics on Membrane Proteins". CRC, First edition.2006.
36. The National Center for Biotechnology Information. http://www.ncbi.nlm. nih.gov/.