AI summaryⓘ
The authors created TSExplorer, a tool that helps people look at and label time-series data in an easy and interactive way. It shows different kinds of charts to help understand complex data with many features. TSExplorer works on different computer systems and is useful for tasks like exploring data, adding or fixing labels, and comparing how different features describe the data. It gives users visual feedback to make these steps clearer and easier.
time-series datadata annotationinteractive visualizationhigh-dimensional dataexploratory data analysisfeature representationdata labelingcross-platform softwarevisual feedbackpost-hoc analysis
Authors
Einari Vaaras, Manu Airaksinen, Okko Räsänen
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.