lzz19980125/awesome-time-series-segmentation-papers
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
This is a curated reading list of academic papers focused on time series segmentation. It helps researchers and data scientists understand techniques for dividing continuous time-based data into meaningful, homogeneous segments, making large datasets more manageable for analysis. The repository offers a collection of research papers covering methodologies and applications for both single-variable and multi-variable time series, as well as complex spatio-temporal tensor data.
550 stars. Actively maintained with 3 commits in the last 30 days.
Use this if you are a researcher or data scientist needing to explore the academic landscape of time series segmentation, change point detection, or related anomaly detection techniques to better analyze and interpret complex temporal data.
Not ideal if you are looking for ready-to-use software, code implementations, or practical tutorials for applying time series segmentation without needing to delve into academic literature.
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550
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15
Language
MATLAB
License
GPL-3.0
Category
Last pushed
Feb 24, 2026
Commits (30d)
3
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