TSExplorer: An interactive data annotation and exploration tool for time-series data

2026-08-31

AI Summary

TSExplorer通过多角度2D可视化方法，解决了时间序列数据的交互式标注与探索问题。

Abstract

We present TSExplorer, a cross-platform tool for interactive annotation and exploration of time-series data. The tool enables users to inspect high-dimensional datasets through multiple complementary 2D visualizations derived from high-dimensional feature representations. TSExplorer is designed as a general-purpose research tool supporting a wide range of workflows, including exploratory data analysis, annotation of unlabeled or partially-labeled datasets, comparison of feature representations, and post-hoc inspection and refinement of existing labels with interactive visual feedback.

Problem

• time-series data
• interactive annotation
• exploration
• high-dimensional datasets
• feature representations

Innovation

• interactive data annotation
• time-series data exploration
• cross-platform tool
• high-dimensional feature representations
• exploratory data analysis