暂无分享,去创建一个
Stanley B. Zdonik | Nesime Tatbul | Justin Emile Gottschlich | Eric Metcalf | Tae Jun Lee | S. Zdonik | Nesime Tatbul | T. Lee | Eric Metcalf
[1] Dimitrios I. Fotiadis,et al. Machine learning applications in cancer prognosis and prediction , 2014, Computational and structural biotechnology journal.
[2] Subutai Ahmad,et al. Unsupervised real-time anomaly detection for streaming data , 2017, Neurocomputing.
[3] Sudipto Guha,et al. Robust Random Cut Forest Based Anomaly Detection on Streams , 2016, ICML.
[4] Charu C. Aggarwal,et al. Outlier Analysis , 2013, Springer New York.
[5] Barak A. Pearlmutter,et al. Detecting intrusions using system calls: alternative data models , 1999, Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No.99CB36344).
[6] Nidhi Singh,et al. Demystifying Numenta anomaly benchmark , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[7] Stanley B. Zdonik,et al. Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection , 2018, ArXiv.
[8] Subutai Ahmad,et al. Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark , 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).
[9] Lovekesh Vig,et al. Long Short Term Memory Networks for Anomaly Detection in Time Series , 2015, ESANN.
[10] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.