Rule extraction from neural networks via ant colony algorithm for data mining applications

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

Volumn 5313 LNCS, Issue , 2008, Pages 177-191

  ÖzbakIr, Lale ^a   Baykasoǧlu, Adil ^b   Kulluk, Sinem ^a  

^a ERCIYES UNIVERSITY   (Turkey)

^b GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Ant colony optimization; Artificial neural networks; Rule extraction

Indexed keywords

BACKPROPAGATION; BENCHMARKING; INFORMATION MANAGEMENT; OPTIMIZATION;

ANT COLONY ALGORITHM (HBACA); ANT COLONY OPTIMIZATION; ARTIFICIAL NEURAL NETWORKS; ARTIFICIAL NEURAL NETWORKS (ANN); CLASSIFICATIO N PROBLEMS; CLASSIFICATION ACCURACIES; COMMON PROBLEMS; KNOWLEDGE ACQUIREMENT; RULE EXTRACTION;

NEURAL NETWORKS;

EID: 58449112758     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92695-5_14     Document Type: Conference Paper

References (21)

1. Andrews, R., Diederich, J., Tickle, A.B.: A Survey, Critique of Techniques for Extracting Rules from Trained Artificial Neural Networks. Knowledge Based Sys. 8(6), 373-389 (1995)
2. Arbatli, A.D., Akin, H.L.: Rule Extraction from Trained Neural Networks Using Genetic Algorithms. Nonlinear Analysis, Theory, Methods & Applications 30(3), 1639-1648 (1997)
3. Baykasoglu, A., Özbakir, L.: MEPAR-miner: Multi-Expression Programming for Classification Rule Mining. European Journal of Operational Research 183(2), 767-784 (2007)
4. Chen, G., Liu, H., Yu, L., Wei, Q., Zhang, X.: A New Approach to Classification Based on Association Rule Mining. Decision Support Systems 42, 674-689 (2006)
5. Dehuri, S., Mall, R.: Predictive and Comprehensible Rule Discovery Using A Multi-Objective Genetic Algorithm. Knowledge-Based Systems 19, 413-421 (2006)
6. Dorigo, M., Maniezzo, V., Colorni, A.: Positive Feedback as A Search Strategy, Technical Report, N. 91-016, Politecnico di Milano (1991)
7. Elalfi, E., Haque, R., Elalami, M.E.: Extracting Rules from Trained Neural Network Using GA for Managing E-business. Applied Soft Computing 4, 65-77 (2004)
8. Fayyad, U., Irani, K.B.: Multi-interval Discretization of Continuous-valued Attributes for Classification Learning. In: Proceedings of 13th International Joint Conference on Artificial Intelligence, pp. 1022-1027 (1993)
9. Frawley, W., Piatetsky-Shapiro, G., Matheus, C.W.: Knowledge Discovery in Databases: An Overview. AI Magazine, 213-228 (1992)
10. Han, J., Kamber, M.: Data Mining: Concepts and Techniques, p. 24. Academic Press, London (2001)
11. Hiroyasu, T., Miki, M., Ono, Y., Minami, Y.: Ant Colony for Continuous Functions, The Science and Engineering Doshisha University XX(Y) (2000)
12. Hruschka, E.R., Ebecken, N.F.F.: Extracting Rules from Multilayer Perceptrons in Classification Problems: A Clustering-based Approach. Neurocomputing 70, 384-397 (2006)
13. Kalinli, A., Karaboga, N., Karaboga, D.: A Modified Touring Ant Colony Optimisation Algorithm For Continuous Functions. In: The 16th International Symposium on Computer and Information Sciences (ISCIS XVI), pp. 437-444. Isik University, Antalya (2001)
14. Karaboga, N., Kalinli, A., Karaboga, D.: Designing Digital IIR Filters Using Ant Colony Optimisation Algorithm. Engineering Applications of Artificial Intelligence 17, 301-309 (2004)
15. Kuttuyil, A.S.: Survey of Rule Extraction Methods, Master of Science Thesis, 1 (2004)
16. Markowska-Kaczmar, U.: The Influence of Prameters in Evolutionary Based Rule Extraction Method from Neural Network. In: Proceedings of the 2005 5th International Conference on Intelligent Systems Design and Applications, ISDA 2005 (2005)
17. Markowska-Kaczmar, U., Wnuk-Lipinski, P.: Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS, vol. 3070, pp. 450-455. Springer, Heidelberg (2004)
18. Santos, R.T., Nievola, J.C., Freitas, A.A.: Extracting Comprehensible Rules From Neural Network via Genetic Algorithms. In: Proc. 2000 IEEE Symp. On Combinations of Evolutionary Computation and Neural Networks (ECNN 2000), San Antonio, TX, USA, pp. 130-139 (2000)
19. Tan, K.C., Yu, Q., Ang, J.H.: A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. Computational Optimization and Applications 34, 273-294 (2006)
20. Thabtah, F.A., Cowling, P.I.: A Greedy Classification Algorithm Based on Association Rule. Applied Soft Computing 7, 1102-1111 (2007)
21. Tokinaga, S., Lu, J., Ikeda, Y.: Neural Network Rule Extraction by Using the Genetic Programming and Its Applications to Explanatory Classifications. IECE Trans. Fundamentas E88-A(10), 2627-2635 (2005)