Soft Computing

, Volume 13, Issue 3, pp 209–212 | Cite as

Evolutionary and metaheuristics based data mining

  • María J. del Jesús
  • José A. Gámez
  • José M. Puerta


  1. Aguilar-Ruiz JS, Riquelme Santos JC, Toro M (2003) Evolutionary learning of hierarchical decision rules. IEEE Trans Syst Man Cybern Part B 33(2):324–331CrossRefGoogle Scholar
  2. Alcalá R, Gacto MJ, Herrera F, Alcalá-Fdez J (2007) A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems. Int J Uncertain Fuzziness Knowl Based Syst 15(5):539–557MATHCrossRefGoogle Scholar
  3. Bull L, Lanzi PL, Stolzmann W (2002) Learning classifier systems. Soft Comput 6(3-4)Google Scholar
  4. Cantú-Paz E, Kamath C (2003) Inducing oblique decision trees with evolutionary algorithms. IEEE Trans Evol Comput 7(1):54–68CrossRefGoogle Scholar
  5. Casillas J, Carse B, Bull L (2001) Fuzzy-XCS: a Michigan genetic fuzzy system. IEEE Trans Fuzzy Syst 15(4):536–550CrossRefGoogle Scholar
  6. Chandra A, Yao X (2006) Evolving hybrid ensembles of learning machines for better generalisation. Neurocomputing 69(7–9):686–700CrossRefGoogle Scholar
  7. Cordón O, Herrera F, Hoffmann F, Magdalena L (2001) Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases. World Scientific, LondonMATHGoogle Scholar
  8. de Campos LM, Fernández-Luna JM, Gámez JA, Puerta JM (2002) Ant colony optimization for learning bayesian networks. Int J Approx Reason 31(3):291–311MATHCrossRefGoogle Scholar
  9. El-Fallahi A, Martí R, Lasdon L (2006) Path relinking and grg for artificial neural networks. Eur J Oper Res 169(2):508–519MATHCrossRefGoogle Scholar
  10. Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) From data mining to knowledge discovery in databases. AI Mag 17:37–54Google Scholar
  11. Flores JL, Inza Iñaki, Larrañaga Pedro (2007) Wrapper discretization by means of estimation of distribution algorithms. Intell Data Anal 11(5):525–545Google Scholar
  12. García S, Cano JR, Herrera F (2008) A memetic algorithm for evolutionary prototype selection: a scaling up approach. Pattern Recognit (in press). doi: 10.1016/j.patcog.2008.02.006
  13. Ghosh A, Nath B (2004) Multi-objective rule mining using genetic algorithms. Inf Sci 163(1–3):123–133CrossRefMathSciNetGoogle Scholar
  14. Ishibuchi H, Nakashima T, Nii M (2004) Classification and modeling with linguistic information granules: advanced approaches to linguistic data mining. Springer, HeidelbergGoogle Scholar
  15. Larrañaga P, Lozano JA (2002) Estimation of distribution algorithms: a new tool for evolutionary computation. Kluwer, Dordrecht MATHGoogle Scholar
  16. Liu BD, Chen CY, Tsao JY (2001) Design of adaptive fuzzy logic controller based on linguistic-hedge concepts and genetic algorithms. IEEE Trans Syst Man Cybern Part B Cybern 31(1):32–53CrossRefGoogle Scholar
  17. Lozano JA, Larrañaga P (1999) Applying genetic algorithms to search for the best hierarchical clustering of a dataset. Pattern Recognit Lett 20(9):911–918CrossRefGoogle Scholar
  18. Ma PCH, Chan KCC, Yao X, Chiu DKY (2006) An evolutionary clustering algorithm for gene expression microarray data analysis. IEEE Trans Evol Comput 10(3):296–314CrossRefGoogle Scholar
  19. Michalski RS (2000) Learnable Evolution Model: Evolutionary processes guided by machine learning. Mach Learn 38(1–2):9–40MATHCrossRefGoogle Scholar
  20. Oh I-S, Lee J-S, Moon BR (2004) Hybrid genetic algorithms for feature selection. IEEE Trans Pattern Anal Mach Intell 26(11):1424–1437CrossRefGoogle Scholar
  21. Rivera AJ, Rojas I, Ortega J, del Jesús MJ (2007) A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput 11(7):655–668CrossRefGoogle Scholar
  22. Smith MG, Bull L (2005) Genetic programming with a genetic algorithm for feature construction and selection. Genet Program Evolvable Mach 6(3):265–281CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • María J. del Jesús
    • 1
  • José A. Gámez
    • 2
  • José M. Puerta
    • 2
  1. 1.Computer Science DepartmentUniversity of JaénJaénSpain
  2. 2.Computing Systems DepartmentUniversity of Castilla-La ManchaAlbaceteSpain

Personalised recommendations