Causality, machine learning and human insight.
Anal Chim Acta
; 1277: 341585, 2023 Oct 09.
Article
en En
| MEDLINE
| ID: mdl-37604606
ABSTRACT
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Etiology_studies
Idioma:
En
Revista:
Anal Chim Acta
Año:
2023
Tipo del documento:
Article