Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper
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 Learn...
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creator | Nascimento, Aderson Farias do Musicante, Martin A da Costa, Umberto Souza Carvalho, Bruno M Nunes, Marcus Alexandre Vargas-Solar, Genoveva |
description | 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. |
doi_str_mv | 10.48550/arxiv.2209.02384 |
format | Article |
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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,
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best practices and novel ways of curating data-centric geosciences knowledge
(data, experiments, models, methods, conclusions, and interpretations). This
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and modern data analytics methods on geo-data collections. The problems address
open methodological questions in model building, models' assessment,
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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.</abstract><doi>10.48550/arxiv.2209.02384</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Databases Computer Science - Learning Physics - Geophysics |
title | Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper |
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