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About new isolation based anomaly detection methods #27

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zhuye88 opened this issue Jun 4, 2021 · 1 comment
Closed

About new isolation based anomaly detection methods #27

zhuye88 opened this issue Jun 4, 2021 · 1 comment

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@zhuye88
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zhuye88 commented Jun 4, 2021

Hi Yue,

I found your repository is amazing. Just let you know that our research group (the inventor of iForest) recently has proposed new isolation based anomaly detection methods that you may like to include:

  1. Ting, Kai Ming, Bi-Cun Xu, Takashi Washio, and Zhi-Hua Zhou. "Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection." In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 198-206. 2020.

code: https://github.com/IsolationKernel/Codes/tree/main/IDK

  1. Bandaragoda, Tharindu R., Kai Ming Ting, David Albrecht, Fei Tony Liu, Ye Zhu, and Jonathan R. Wells. "Isolation‐based anomaly detection using nearest‐neighbor ensembles." Computational Intelligence 34, no. 4 (2018): 968-998.

code: https://github.com/zhuye88/iNNE

Cheers,
Ye Zhu

@yzhao062
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yzhao062 commented Jun 6, 2021

thanks. will consider to add them!

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