An evolutionary algorithm using multivariate discretization for decision rule induction

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

Volumn 1704, Issue , 1999, Pages 392-397

  Kwedlo, Wojciech ^a   Krętowski, Marek ^a  

^a BIALYSTOK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; DATA MINING; DISCRETE EVENT SIMULATION; LEARNING SYSTEMS;

CONTINUOUS-VALUED ATTRIBUTE; DECISION RULE INDUCTION; DECISION RULES; DISCRETIZATION METHOD; MULTIVARIATE DISCRETIZATION; REAL LIFE DATASETS; SPECIFIC OPERATORS; VARIABLE LENGTH CHROMOSOME;

EVOLUTIONARY ALGORITHMS;

EID: 84956869878     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48247-5_48     Document Type: Conference Paper

References (10)

1. Blake, C., Keogh, E., Merz, C.J.: UCI repository of machine learning databases, available on-line: http://www.ics.uci.edu/~mlearn/MLRepository.html (1998).
2. Bobrowski, L.: Piecewise-linear classifiers, formal neurons and separability of the learning sets. Proc. of 13th Int. Conf. on Pattern Recognition ICPR’96. IEEE Computer Society Press (1996) 224-228.
3. De Jong, K.A., Spears, W.M., Gordon, D.F.: Using genetic algorithm for concept learning. Machine Learning 13 (1993) 168-182.
4. Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: Machine Learning: Proc of 12th Int. Conference. Morgan Kaufmann (1995) 194-202.
5. Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In Proc. of IJCAI’93. Morgan Kaufmann (1993) 1022-1027.
6. Fayyad, U.M, Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. AAAI Press (1996).
7. Janikow, C.Z.: A knowledge intensive genetic algorithm for supervised learning. Machine Learning 13 (1993) 192-228.
8. Kwedlo, W., Krętowski, M.: Discovery of decision rules from databases: an evolutionary approach. In Principles of Data Mining and Knowledge Discovery. 2nd European Symposium PKDD’98. Springer LNCS 1510 (1998) 370-378.
9. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. Springer (1996).
10. Quinlan, J.R.: Improved use of continuous attributes in C4.5. Journal of Artificial Intelligence Research 4 (1996) 77-90.