qiumiao30/time-series-anomaly-detection

List of papers & datasets for anomaly detection on multivariate time-series data.

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Emerging

This project helps operations engineers, data scientists, and researchers find unusual patterns or 'anomalies' in complex, multi-sensor data that changes over time, such as system logs or sensor readings from industrial equipment. It provides a curated list of research papers and publicly available datasets. The output is guidance on effective methods and data for identifying unexpected events in time-series data.

No commits in the last 6 months.

Use this if you need to research or implement robust anomaly detection techniques for multivariate time-series data, and are looking for established methods, academic papers, and relevant datasets.

Not ideal if you need an out-of-the-box software tool to immediately analyze your own time-series data without delving into research or methodology.

operations-monitoring predictive-maintenance data-analysis fraud-detection system-health
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

27

Forks

7

Language

Python

License

Apache-2.0

Last pushed

Jul 03, 2022

Commits (30d)

0

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