How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?

[1]  Ming-Chang Lee,et al.  ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series , 2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).

[2]  Ernst Gunnar Gran,et al.  RePAD: Real-time Proactive Anomaly Detection for Time Series , 2020, International Conference on Advanced Information Networking and Applications.

[3]  Chao Yi,et al.  Time-Series Anomaly Detection Service at Microsoft , 2019, KDD.

[4]  Yang Feng,et al.  Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications , 2018, WWW.

[5]  Arun Kejariwal,et al.  Automatic Anomaly Detection in the Cloud Via Statistical Learning , 2017, ArXiv.

[6]  Jia Wu,et al.  Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection , 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

[7]  Nhien-An Le-Khac,et al.  Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks , 2016, FDSE.

[8]  Ming-Chang Lee,et al.  Performance evaluation of job schedulers on Hadoop YARN , 2016, Concurr. Comput. Pract. Exp..

[9]  Ramin Yahyapour,et al.  Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters , 2016, IEEE Transactions on Parallel and Distributed Systems.

[10]  V. Krzhizhanovskaya,et al.  Crack Detection in Earth Dam and Levee Passive Seismic Data Using Support Vector Machines , 2016, ICCS.

[11]  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).

[12]  Ralf C. Staudemeyer,et al.  Applying long short-term memory recurrent neural networks to intrusion detection , 2015 .

[13]  Jing Xu,et al.  Intrusion Detection using Continuous Time Bayesian Networks , 2010, J. Artif. Intell. Res..

[14]  Philip S. Yu,et al.  Outlier Detection with Uncertain Data , 2008, SDM.