ASTELCO: An Augmented Sparse Time Series Dataset with Generative Models

Manuel Sánchez-Laguardia, Gastón García González, Emilio Martinez, Sergio Martinez, Alicia Fernández, Gabriel Gómez

2025

Abstract

In recent years, there has been significant growth in the application of deep learning methods for classification, anomaly detection, and forecasting of time series. However, only some studies address problems involving sparse or intermittent demand time series, since the availability of sparse databases is scarce. This work compares the performance of three data augmentation approaches based on generative models and provides the code used to generate synthetic sparse and non-sparse time series. The experiments are carried out using a newly created sparse time series database, ASTELCO, which is generated from real e-commerce data (STELCO) supplied by a mobile Internet Service Provider. For the sake of reproducibility and as an additional contribution to the community, we make both the STELCO and ASTELCO datasets publicly available, and openly release the implemented code.

Paper Citation

in Harvard Style

Sánchez-Laguardia M., García González G., Martinez E., Martinez S., Fernández A. and Gómez G. (2025). ASTELCO: An Augmented Sparse Time Series Dataset with Generative Models. In Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-730-6, SciTePress, pages 283-290. DOI: 10.5220/0013185900003905

in Bibtex Style

@conference{icpram25,
author={Manuel Sánchez-Laguardia and Gastón García González and Emilio Martinez and Sergio Martinez and Alicia Fernández and Gabriel Gómez},
title={ASTELCO: An Augmented Sparse Time Series Dataset with Generative Models},
booktitle={Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2025},
pages={283-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013185900003905},
isbn={978-989-758-730-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - ASTELCO: An Augmented Sparse Time Series Dataset with Generative Models
SN - 978-989-758-730-6
AU - Sánchez-Laguardia M.
AU - García González G.
AU - Martinez E.
AU - Martinez S.
AU - Fernández A.
AU - Gómez G.
PY - 2025
SP - 283
EP - 290
DO - 10.5220/0013185900003905
PB - SciTePress