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21 changes: 21 additions & 0 deletions introduction_to_amazon_algorithms/random_cut_forest/README.md
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# SageMaker Random Cut Forest and Anomaly Detection

An introductory notebook on using Amazon SageMaker to train and use random cut
forest models to perform anomaly detection.

<p align="center">
<img src="https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/random_cut_forest/img/rcf.png">
</p>

## References

For more details about random cut forests and information about the algorithm
used in the Amazon SageMaker RCF algorithm consult the following papers:

* Sudipto Guha, Nina Mishra, Gourav Roy, and Okke Schrijvers. *"Robust random
cut forest based anomaly detection on streams."* In International Conference
on Machine Learning, pp. 2712-2721. 2016.
* Byung-Hoon Park, George Ostrouchov, Nagiza F. Samatova, and Al Geist.
*"Reservoir-based random sampling with replacement from data stream."* In
Proceedings of the 2004 SIAM International Conference on Data Mining, pp.
492-496. Society for Industrial and Applied Mathematics, 2004.
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