Building acceptable classification models for financial engineering applications

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Building acceptable classification models for financial engineering applications: thesis summary

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ACM SIGKDD Explorations Newsletter archive
Volume 10 , Issue 2 (December 2008) table of contents

COLUMN: PhD dissertation abstracts table of contents

Pages 30-31

Year of Publication: 2008

ISSN:1931-0145

Author

David Martens

Katholieke Universiteit Leuven, Belgium

Publisher

ACM New York, NY, USA

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REFERENCES

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	1	Bjorn Cumps , David Martens , Manu De Backer , Raf Haesen , Stijn Viaene , Guido Dedene , Bart Baesens , Monique Snoeck, Inferring comprehensible business/ICT alignment rules, Information and Management, v.46 n.2, p.116-124, March, 2009 [doi>10.1016/j.im.2008.05.005]
	2	D. Martens, B. Baesens, T. Van Gestel, and J. Vanthienen. Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of Operational Research, 183(3):1466--1476, 2007.
	3	David Martens , Liesbeth Bruynseels , Bart Baesens , Marleen Willekens , Jan Vanthienen, Predicting going concern opinion with data mining, Decision Support Systems, v.45 n.4, p.765-777, November, 2008 [doi>10.1016/j.dss.2008.01.003]
	4	D. Martens, M. De Backer, R. Haesen, B. Baesens, C. Mues, and J. Vanthienen. Ant-based approach to the knowledge fusion problem. In Proceedings of the Fifth International Workshop on Ant Colony Optimization and Swarm Intelligence, Lecture Notes in Computer Science, pages 85--96. Springer, 2006.
	5	D. Martens, M. De Backer, R. Haesen, M. Snoeck, J. Vanthienen, and B. Baesens. Classification with ant colony optimization. IEEE Transaction on Evolutionary Computation, 11(5):651--665, 2007.
	6	David Martens , Bart Baesens , Tony Van Gestel, Decompositional Rule Extraction from Support Vector Machines by Active Learning, IEEE Transactions on Knowledge and Data Engineering, v.21 n.2, p.178-191, February 2009 [doi>10.1109/TKDE.2008.131]
	7	Olivier Vandecruys , David Martens , Bart Baesens , Christophe Mues , Manu De Backer , Raf Haesen, Mining software repositories for comprehensible software fault prediction models, Journal of Systems and Software, v.81 n.5, p.823-839, May, 2008 [doi>10.1016/j.jss.2007.07.034]