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A note on knowledge discovery using neural networks and its application to credit card screening

Record type: Article

We address an important issue in knowledge discovery using neural networks that has been left out in a recent article “Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem” by Sexton et al. [R.S. Sexton, S. McMurtrey, D.J. Cleavenger, Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem, European Journal of Operational Research 168 (2006) 1009–1018]. This important issue is the generation of comprehensible rule sets from trained neural networks. In this note, we present our neural network rule extraction algorithm that is very effective in discovering knowledge embedded in a neural network. This algorithm is particularly appropriate in applications where comprehensibility as well as accuracy are required. For the same data sets used by Sexton et al. our algorithm produces accurate rule sets that are concise and comprehensible, and hence helps validate the claim that neural networks could be viable alternatives to other data mining tools for knowledge discovery.

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Citation

Setiono, R., Baesens, B. and Mues, C. (2009) A note on knowledge discovery using neural networks and its application to credit card screening European Journal of Operational Research, 192, (1), pp. 326-332. (doi:10.1016/j.ejor.2007.09.022).

More information

Submitted date: April 2007
Accepted/In Press date: April 2007
Published date: 2009
Keywords: knowledge discovery, neural networks, rule extraction, credit screening

Identifiers

Local EPrints ID: 51612
URI: http://eprints.soton.ac.uk/id/eprint/51612
ISSN: 0377-2217
PURE UUID: fb70231d-5bca-4b78-b002-8890cefdad99

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Date deposited: 06 Jun 2008
Last modified: 17 Jul 2017 14:48

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Contributors

Author: R. Setiono
Author: B. Baesens
Author: C. Mues

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