ermshaua/classification-score-stream
This is the supporting website for the paper "Raising the ClaSS of Streaming Time Series Segmentation".
This project helps you accurately detect sudden changes or shifts in continuous streams of data from sensors, whether they monitor human activity, industrial equipment, or natural processes. You input real-time sensor measurements, and it outputs precise segments, marking where the underlying process has changed. It's designed for operations engineers, data analysts, or scientists who need to quickly identify critical events or state transitions in high-frequency data.
No commits in the last 6 months.
Use this if you need to automatically and efficiently segment high-frequency streaming sensor data to detect significant changes or events as they happen.
Not ideal if you need an easily installable, actively maintained library for immediate integration into an existing system, as this is primarily a research artifact for reproducibility.
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Jupyter Notebook
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BSD-3-Clause
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Last pushed
Jun 03, 2024
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