Research on Money Laundering Detection Based on Improved Minimum Spanning Tree Clustering and Its Application

@article{Wang2009ResearchOM,
  title={Research on Money Laundering Detection Based on Improved Minimum Spanning Tree Clustering and Its Application},
  author={Xingqi Wang and Guang Dong},
  journal={2009 Second International Symposium on Knowledge Acquisition and Modeling},
  year={2009},
  volume={2},
  pages={62-64}
}
To detect suspicious money laundering transaction in the real world financial applications, a new dissimilarity metric was proposed and a novel Money Laundering Detection Algorithm based on Improved Minimum Spanning Tree clustering was put forward in this paper. Suspicious money laundering transaction detection experiment on financial data set from the real world indicates that our algorithm is effective and succinct. 

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References

Publications referenced by this paper.
Showing 1-10 of 11 references

Research on Suspicious Financial Transactions Information Search based on CURE Algorithm

  • C. Zhang, X. Zhao
  • Journal of Information, Jun. 2008, pp. 52-54.
  • 2008
1 Excerpt

An Agent based Anti-money Laundering System Architecture for Financial Supervision

  • X. Liu, P. Zhang
  • Proc. International Conference on Wireless…
  • 2007
2 Excerpts

Research on technologies for high dimensional data mining, (in Chinese). Nanjing

  • F. Yang
  • 2007

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