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International Conference on Big Data and Artificial Intelligence Analytics in Geosciences

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Geoscience

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Subjects of interest (part 1)

Data-driven geoscience
Machine learning and analytics in geoscience
Machine learning in geosciences and remote sensing
Computational methods for geoscience
Large-scale machine learning in earth sciences
Architectural considerations and data life cycle
Integration of data, computing/HPC/cloud, and algorithms
Cloud computing, software as a service
New technologies for scaling the architecture
Semantic technologies, linked data, and efficient semantic query, reasoning, and integration techniques
Capturing well-architected and curated data repositories
Data and semantic information architectures
Architecting automated pipelines for data capture
Enabling analytics on data pipelines for computation, data discovery, event detection, reduction, etc
Open source data science frameworks

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International Conference on Big Data and Artificial Intelligence Analytics in Geosciences
Post information and links
X-079-UCDE27R0814-UQR5RCwS
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