From 4a1b5ae60029f5a996b9ac41c0aacd9270b5880d Mon Sep 17 00:00:00 2001 From: sayanc Date: Fri, 12 Mar 2021 20:49:16 -0800 Subject: [PATCH] blog link added in the README, acknowledgement removed as already cited in the scientific paper --- README.md | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index db57ece..32d821a 100644 --- a/README.md +++ b/README.md @@ -83,17 +83,14 @@ Self-Aware Anomaly Detection System. arXiv preprint arXiv:2011.05047.* ([arxiv l ## Other Useful Resources -1. *Chakraborty, S., Shah, S., Soltani, K., & Swigart, A. (2019, December). Root Cause Detection Among Anomalous Time +- *Chakraborty, S., Shah, S., Soltani, K., & Swigart, A. (2019, December). Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment. In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (pp. 523-528). IEEE.* ([arxiv link](https://arxiv.org/abs/2001.01056)) -## Acknowledgements +## Blogs -This project has leveraged methods described in the following scientific publications: - -1. *Soule, Augustin, Kavé Salamatian, and Nina Taft. "Combining filtering and statistical methods for anomaly detection. -" Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement. 2005.* +- Zillow Tech Hub: [*Automatic and Self-aware Anomaly Detection at Zillow Using Luminaire*](https://medium.com/zillow-tech-hub/automatic-and-self-aware-anomaly-detection-at-zillow-using-luminaire-7addfdae4ca9) ## Development Team