Adapted Tree Boosting for Transfer Learning

@article{Fang2019AdaptedTB,
  title={Adapted Tree Boosting for Transfer Learning},
  author={Wenjing Fang and Chaochao Chen and Bowen Song and Lei Wang and Jun Zhou and Kenny Q. Zhu},
  journal={2019 IEEE International Conference on Big Data (Big Data)},
  year={2019},
  pages={741-750}
}
  • Wenjing Fang, Chaochao Chen, +3 authors Kenny Q. Zhu
  • Published in
    IEEE International Conference…
    2019
  • Computer Science, Mathematics
  • Secure online transaction is an essential task for e-commerce platforms. Alipay, one of the world’s leading cashless payment platform, provides the payment service to both merchants and individual customers. The fraud detection models are built to protect the customers, but stronger demands are raised by the new scenes, which are lacking in training data and labels. The proposed model makes a difference by utilizing the data under similar old scenes and the data under a new scene is treated as… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 48 REFERENCES

    Unpack Local Model Interpretation for GBDT

    VIEW 1 EXCERPT

    Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

    VIEW 1 EXCERPT