20.500.12556/RUL-175519 Orange-Volcanoes a new open and collaborative platform to perform data-driven investigations and machine learning analyses in petrology and volcanology Orange-Volcanoes is an extension of the open-source Orange data mining platform specifically tailored for geochemical, petrological, and volcanological investigations. Orange-Volcanoes enhances the original platform by incorporating specialized tools to enable interactive data-driven investigations in geochemistry, such as performing Compositional Data Analysis (CoDA). Applying CoDA transformations enables the use of many standard and multivariate statistical methods like principal component analysis, discriminant analysis, and hierarchical clustering on compositional data. In this way, Orange-Volcanoes allows for the application of a wide range of data mining and statistical methods implemented in Orange using geochemical data. Moreover, Orange allows the use of advanced methods in the field of explainable artificial intelligence, such as feature importance and Shapley additive explanations. Also, within Orange-Volcanoes, we demonstrate the flexibility of the Orange platform by developing visual tools that allow for conducting mineral-liquid equilibrium tests and calculating thermo-barometric estimates. The Orange-Volcanoes supports collaborative efforts and reproducibility by offering a visual programming interface that requires no coding experience, making it accessible to a wide range of users, including scientists, educators, and students. We provide a series of case studies, including interactive petrological data exploration and clustering in tephra studies to highlight Orange-Volcanoes’ potential and versatility in volcanological applications. Orange-Volcanoes can be downloaded using pip, and its documentation is available at https://orange3-volcanoes.readthedocs.io/en/latest/. Orange data mining data-driven investigations igneous petrology volcanology compositional data analysis CoDA machine learning podatkovno rudarjenje Orange podatkovno podprto raziskovanje petrologija magmatskih kamnin vulkanologija analiza kompozicijskih podatkov strojno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2025-10-30 12:11:38 2025-10-30 12:11:40 2025-12-12 03:33:07 0000-00-00 00:00:00 2025 0 0 Str. 1-12 Art. 100270 Vol. 27 Sep. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:551.21:552 2590-1974 10.1016/j.acags.2025.100270 245500931 RAZ_Musu_Alessandro_2025.pdf RAZ_Musu_Alessandro_2025.pdf 1 A50A59B2C6649B9D57E1FD18ACE3536D b777fc39f46c07434aa77651a0c0c6a14282502427fc988fab4dd8b9f6c203ce 3afdd035-b585-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=221153 https://www.sciencedirect.com/science/article/pii/S2590197425000527 1 e826e66b-b580-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=221151 Fakulteta za računalništvo in informatiko 0 0 0