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oaioai:opus.lib.uts.edu.au:10453/10920

A bank customer credit evaluation based on the decision tree and the simulated annealing algorithm

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Publication date
22 September 2008
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
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    Abstract

    C4.5 is a learning algorithm that adopts local search strategy, and it cannot obtain the best decision rules. On the other hand, the simulated annealing algorithm is a globally optimized algorithm and it avoids the drawbacks of C4.5. This paper proposes a new credit evaluation method based on decision tree and simulated annealing algorithm. The experimental results demonstrate that the proposed method is effective. © 2008 IEEE

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    Last time updated on 14/09/2015

    This paper was published in OPUS - University of Technology Sydney.

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