The effect of evolved attributes on classification algorithms

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

Volumn 2903, Issue , 2003, Pages 933-941

  Muharram, Mohammed A ^a   Smith, George D ^a  

^a UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

Evolutionary algorithms; Knowledge discovery and data mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; CLASSIFICATION (OF INFORMATION); COMPUTER PROGRAMMING;

ATTRIBUTE CONSTRUCTION; CASE INFORMATIONS; CLASSIFICATION ALGORITHM; CLASSIFICATION TECHNIQUE; GENETIC PROGRAMS; INFORMATION GAIN; KNOWLEDGE DISCOVERY AND DATA MININGS; SYSTEMATIC STUDY;

CLASSIFICATION (OF INFORMATION); ALGORITHMS;

CLASSIFICATION ALGORITHMS; GENETIC PROGRAMMING; INFORMATION GAIN;

EID: 0346955775     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24581-0_80     Document Type: Conference Paper

References (11)

1. Otero, F.E.B., Silva, M.M.S., Freitas, A.A., Nievola, J.C.: Genetic programming for attribute construction in data mining. In: Lecture Notes in Computer Science: Genetic Programming: Proc.6t h European Conference (EuroGP-2003). Volume 2610., Springer (2003) 384-393
2. Quinlan, JA.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)
3. Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques with Java. Morgan Kaufmann, CA (1999)
4. Breiman, L., Friedman, J.H., Olshen, RA., Stone, C.J.: Classification and Regression Trees. Wadsworth, Inc. Belmont, California (1984)
5. Treigueiros, D., Berry, R-H.: The application of neural network based methods to the extraction of knowledge from accounting reports. In: Proceedings of 24th Annual Hawaii Int.Con f. on System Sciences IV.(1991) 137-146
6. Murthy, S., Salzberg, S.: A system for induction of oblique decision trees. Journal of Artificial Intelligence Research 2 (1994) 1-32
7. Kuscu, I.: A genetic constructive induction model. In Angeline, P.J., Michalewicz, Z., Schoenauer, M., Yao, X., Zalzala, A., eds.: Proc of Congress an Evolutionary Computation. Volume 1., IEEE Press (1999) 212-217
8. Koza, J.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press (1992)
9. Zheng, Z.: Effects of different types of new attribute an constructive induction. In: Proc of 8th Int.Con f. on Tools with Artifical Intelligence (ICTAI’96), IEEE (1996) 254-257
10. Bensusan, H., Kuscu, I.: Constructive induction using genetic programming. In Fogarty, T., Venturini, G., eds.: Proceedings of tut. Conf. Machine Learning, Evolutionary Computing and Machine Learning Workshop.(1996)
11. Kass, G.V.: An exploratory technique for investigating large quantities of categorical data. Applied Statistics 29 (1980) 119-127