Abstract
As a promising data mining tool, Multiple Criteria Linear Programming (MCLP) has been widely used in business intelligence. However, a possible limitation of MCLP is that it generates unexplainable black-box models which can only tell us results without reasons. To overcome this shortage, in this paper, we propose a Knowledge Mining strategy which mines from black-box MCLP models to get explainable and understandable knowledge. Different from the traditional Data Mining strategy which focuses on mining knowledge from data, this Knowledge Mining strategy provides a new vision of mining knowledge from black-box models, which can be taken as a special topic of “Intelligent Knowledge Management”.
This research has been partially supported by a grant from National Natural Science Foundation of China (#70501030, #70621001, #90718042, #60674109), Beijing Natural Science Foundation (#9073020).
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References
Shi, Y., Wise, W., Lou, M., et al.: Multiple Criteria Decision Making in Credit Card Portfolio Management. Multiple Criteria Decision Making in New Millennium, 427–436 (2001)
Martens, D., Baesens, B., Van Gestelc, T., Vanthienena, J.: Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of Operational Research 183(3), 1466–1476 (2007)
Nunez, H., Angulo, C., Catala, A.: Rule based learning systems from SVMs. In: European Symposium on Artificial Neural Networks Proceedings, pp. 107–112 (2002)
Fung, G., Sandilya, S., Bharat Rao, R.: Rule extraction from linear support vector machchines. In: Proceeding of KDD 2005, pp. 32–40 (2005)
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, P., Zhu, X., Li, A., Zhang, L., Shi, Y. (2009). Mining Knowledge from Multiple Criteria Linear Programming Models. In: Shi, Y., Wang, S., Peng, Y., Li, J., Zeng, Y. (eds) Cutting-Edge Research Topics on Multiple Criteria Decision Making. MCDM 2009. Communications in Computer and Information Science, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02298-2_26
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DOI: https://doi.org/10.1007/978-3-642-02298-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02297-5
Online ISBN: 978-3-642-02298-2
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