A systematic description of greedy optimisation algorithms for cost sensitive generalisation

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

Volumn 1280, Issue , 1997, Pages 247-257

  van Someren, Maarten ^a   Tortes, Cristina ^a,b   Verdenius, Floor ^b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; FORESTRY; INFORMATION ANALYSIS;

ALGORITHM CONFIGURATIONS; COST-SENSITIVE; EVALUATION FUNCTION; GENERALISATION; GREEDY ALGORITHMS; MISCLASSIFICATION COSTS; OPTIMISATIONS;

DATA HANDLING;

EID: 84949811365     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0052845     Document Type: Conference Paper

References (10)

1. Langley, P. (1996). Elements of machine learning. Morgan Kaufmann, San Francisco.
2. Nunez, M. (1991). The use of background knowledge in decision tree induction. Machine Learning, 6:231-250.
3. Quinlan, J. (1986). Induction of decision trees. Machine Learning, 1:81-106.
4. Quinlan, J. (1992). C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco.
5. Riddle, P., Segal, R., and Etzioni, O. (1994). Representation design and brute-force induction in a boeing manufacturing domain. Applied Artificial Intelligence, 8:125-147.
6. Roberts, H., Denby, M., and Totton, K. (1995). Accounting for misclassification costs in decision tree classifiers. In Lasker, G. and Liu, X., editors, Proceedings of the International Symposium on Intelligent Data Analysis, IDA-95, pages 149-156.
7. Schiffers, J. (1997). A classification approach incorporating misclassification cost. Intelligent Data Analysis, Vol. 1, No. 1, http://www.elsevier.com/locate/ida
8. Tortes, C. and Verdenius, F. (1996). Selecting decisiontree based learning algorithms. In van der Herik, H., van den Bosch, A., and Weijters, T., editors, Proceedings Benelearn-1996, Maastricht. RU Maastricht.
9. Turney, P. D. (1995). Cost sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of AI Research, 2:369-409.
10. Verdenius, F. (1991). A method for inductive cost optimization. In Kodratoff, Y., editor, Proceedings of the Fifth European Working Session on Learning EWSL-91, pages 179-191, Berlin. Springer Verlag.