Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems-Reference-Cited by-同舟云学术

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems

Published:2016-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Author:

Melnyk Igor¹,Banerjee Arindam¹,Matthews Bryan²,Oza Nikunj²

Affiliation:

1. University of Minnesota, Minneapolis, MN, USA

2. NASA Ames Research Center, Moffett Field, CA, USA

Funder

NASA

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2939672.2939789

Reference32 articles.

1. NASA Flight Dataset. Available at https://c3.nasa.gov/dashlink/projects/85/. NASA Flight Dataset. Available at https://c3.nasa.gov/dashlink/projects/85/.

2. Regime Changes and Financial Markets

3. Automatic outlier detection for time series: an application to sensor data

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