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

Yi Jiang, Yan Chen, Zhimin Zeng, Xiangjian He

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Pages203-206
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008 - Sydney, NSW, Australia
Duration: 8 Jul 200811 Jul 2008

Publication series

NameProceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008

Conference

Conference2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Country/TerritoryAustralia
CitySydney, NSW
Period8/07/0811/07/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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