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RecForest

Description: The package includes the python code of the RecForest for reconstruction-based anomaly detection [1].

References:
[1] Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou. Reconstruction-based Anomaly Detection with Completely Random Forest. In Proceedings of the SIAM International Conference on Data Mining (SDM), Virginia, U.S, 2021.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

Requirement: See requirements.txt. You will also need a C-Compiler to compile the Cython files.

ATTN2: This package was developed by . For any problem concerning the code, please feel free to contact Mr.Yi-Xuan Xu (xuyx@lamda.nju.edu.cn).

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