Regueiro Feal, ÁngelÁlvarez, M. A.Manteiga, MiniaDafonte, Carlos2026-09-172026-09-172025Regueiro, A., Álvarez, M. A., Manteiga, M., & Dafonte, C. (2026). Integration of GUASOM into the SPACIOUS Computing Platform. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 185-192). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c34978-84-9749-925-5https://hdl.handle.net/2183/49297Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.[Abstract] The Science PlAtform Cloud Infrastructure for Outsize Usage Scenarios (SPACIOUS) project is developing a computational environment for astrophysical research using Big Data technologies, with the aim of enhancing the scientific exploitation of large volumes of data. To this end, data mining and Artificial Intelligence tools are being developed and integrated into the platform. This paper presents the adaptation of GUASOM, a tool for the visualisation and analysis of Self-Organising Maps (SOM) aimed at analysing outliers from the Gaia mission. A Python application has been developed that allows these maps to be trained and loaded into GUASOM directly from SPACIOUS Jupyter Notebooks, facilitating their integration and use in the project ecosystem.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Astrophysical researchBig DataSelf-organising mapsData miningArtificial Intelligenceconference outputopen access10.17979/spu.23.c34