Attribute selection with a multi-objective genetic algorithm

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

Volumn 2507, Issue , 2002, Pages 280-290

  Pappa, Gisele L ^a   Freitas, Alex A ^a   Kaestner, Celso A A ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; GENETIC ALGORITHMS; TREES (MATHEMATICS);

ATTRIBUTE SELECTION; CLASSIFICATION ALGORITHM; DECISION-TREE ALGORITHM; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; NONDOMINATED SOLUTIONS; PARETO DOMINANCE; WRAPPER APPROACH;

DATA MINING;

EID: 34748908537     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-36127-8_27     Document Type: Article

References (15)

1. [1] Bhattacharyya, S., Evolutionary Algorithms in Data mining: Multi-Objective Performance Modeling for Direct Marketing. In: Proc KDD-2000, ACM Press (2000) 465-471
2. [2] Deb, K, Multi-Objective Evolutionary Algorithms: Introducing Bias Among Pareto-Optimal Solutions. Kanpur Genetic Algorithms Laboratory Report nº 99002, India (1999)
3. [3] Deb, K., Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, England (2001)
4. [4] Fidelis, M.V., Lopes, H.S., Freitas, A.A., Discovering Comprehensible Classification Rules with a Genetic Algorithm. In: Proc. Congress on Evolutionary Computation (2000)
5. [5] Goldberg, D. E., Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing Company (1989)
6. [6] Freitas, A. A.; Understanding the Crucial Role of Attribute Interaction in Data Mining. In: Artificial Intelligence Review 16, Kluwer Academic Publishers (2001) 177-199
7. [7] Freitas, A.A., Data Mining and Knowledge Discovery with Evolutionary Algorithms (forthcoming book). Springer-Verlag (2002)
8. [8] Holsheimer, M., Siebes, A., Data Mining. The Search for Knowledge in Databases. Report CS-R9406, Amsterdam: CWI (1991)
9. [9] Ishibuchi, H., Nakashima, T., Multi-objective Pattern and Feature Selection by a Genetic Algorithm. In: Proc. Genetic and Evolutionary Computation Conf. (GECCO.2000), Morgan Kaufmann (2000) 1069-1076
10. [10] Liu, H.; Motoda, H., Feature Selection for Knowledge Discovery and Data Mining. Kluwer Academic Publishers (1998)
11. [11] Martín-Bautista, M. J., Vila, M. A., A Survey of Genetic Feature Selection in Mining Issues. In: Proc. IEEE Conference on Evolutionary Computation, Washington (1999) 1314-1321.
12. [12] Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. Springer-Verlag (1996)
13. [13] Murphy, P.M., Aha, D.W., UCI Repository of Machine Learning databases. [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Departament of information and Computer Science (1994)
14. [14] Rozspyal, A., Kubat, M., Using Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and Select Relevant Attributes. Proc. Int. Conf. Machine Learning (ICML-2001), Morgan Kauf. (2001)
15. [15] Quinlan, J.R., C4.5: Programs for Machine Learning. Morgan Kaufmann (1993)