1. Unsupervised real-time anomaly detection for streaming data
2. HLMCC: A Hybrid Learning Anomaly Detection Model for Unlabeled Data in Internet of Things
3. Standard deviations and standard errors
4. S. Baek , Donghwoon Kwon , Jinoh Kim , S. Suh , Hyunjoo Kim , and Ikkyun Kim . 2017 . Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks. 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud) (2017), 205--210. S. Baek, Donghwoon Kwon, Jinoh Kim, S. Suh, Hyunjoo Kim, and Ikkyun Kim. 2017. Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks. 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud) (2017), 205--210.
5. Intermittent Failures in Hardware and Software