GALACTICA: An Interactive System for Local and Global Counterfactual Explanations for Time-series Clustering
Summary: GALACTICA interactively explains time-series clusters at both instance and cluster levels: minimal, structurally meaningful counterfactuals reveal boundary crossings, while MDL-compressed summaries expose global cluster transitions. Couples Galactic’s algorithms with auditable visual exploration. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Christos Fragkathoulas (Athena Research Center; University of Ioannina)
- 2. Eleni Psaroudaki (Athena Research Center)
- 3. Themis Palpanas (Athena Research Center; Université Paris Cité)
- 4. Evaggelia Pitoura (Athena Research Center; University of Ioannina)
BibTeX Citation
@article{fragkathoulas_vldb26,
title = {{GALACTICA: An Interactive System for Local and Global Counterfactual Explanations for Time-series Clustering}},
author = {Fragkathoulas, Christos and Psaroudaki, Eleni and Palpanas, Themis and Pitoura, Evaggelia},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4774--4777},
doi = {10.14778/3827998.3828119},
url = {https://doi.org/10.14778/3827998.3828119},
year = {2026}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,990 | Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering | 2023 | VLDB | 6.8701633e-05 |
| 7,094 | Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods | 2025 | VLDB | 5.601767e-05 |
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