qiumiao30/time-series-anomaly-detection
List of papers & datasets for anomaly detection on multivariate time-series data.
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.
Stars
27
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 03, 2022
Commits (30d)
0
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