Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper
Nascimento, Aderson Farias do, Musicante, Martin A., da Costa, Umberto Souza, Carvalho, Bruno M., Nunes, Marcus Alexandre, Vargas-Solar, Genoveva
–arXiv.org Artificial Intelligence
This paper describes and discusses our vision to develop and reason about best practices and novel ways of curating data-centric geosciences knowledge (data, experiments, models, methods, conclusions, and interpretations). This knowledge is produced from applying statistical modelling, Machine Learning, and modern data analytics methods on geo-data collections. The problems address open methodological questions in model building, models' assessment, prediction, and forecasting workflows.
arXiv.org Artificial Intelligence
Aug-20-2022
- Country:
- South America > Brazil (0.30)
- Genre:
- Research Report (0.50)
- Technology:
- Information Technology
- Data Science (1.00)
- Artificial Intelligence > Machine Learning (1.00)
- Information Management (0.96)
- Information Technology