ermshaua/time-series-segmentation-benchmark
This repository contains the time series segmentation benchmark (TSSB).
This project provides a standardized set of annotated time series data for evaluating segmentation algorithms. It takes various time series datasets, merges them to create data with distinct patterns and known 'change points,' and outputs these segmented time series ready for algorithm testing. Researchers and practitioners working on algorithms that detect changes in sequential data would use this to benchmark their methods.
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Use this if you are developing or evaluating algorithms that automatically identify changes or distinct phases within time series data and need a reliable, pre-segmented dataset for testing.
Not ideal if you need to perform time series segmentation on your own raw data or are looking for a segmentation algorithm to apply to a specific business problem.
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Jupyter Notebook
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BSD-3-Clause
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Last pushed
Mar 31, 2025
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