Causality, machine learning and human insight
Peer reviewed, Journal article
Accepted version
Permanent lenke
https://hdl.handle.net/11250/3132859Utgivelsesdato
2023Metadata
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Sammendrag
Modern instruments generate BIG DATA that require information extraction before they can be used. A hybrid modelling framework for that is presented and illustrated. Its purpose is to convert meaningless data to meaningful information and to contribute to a theoretical, practical, and democratic basis for tomorrow's handling of BIG DATA in science and technology.