因果关系、机器学习和人类洞察力。
Causality, machine learning and human insight.
机构信息
Dept. Engineering Cybernetics, Norw. U. of Sci. & Technol. NTNU, Trondheim, Norway; Idletechs AS, Trondheim, Norway.
出版信息
Anal Chim Acta. 2023 Oct 9;1277:341585. doi: 10.1016/j.aca.2023.341585. Epub 2023 Aug 9.
PMID: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.
摘要
现代仪器产生的大数据在使用之前需要进行信息提取。为此，提出并说明了一种混合建模框架。其目的是将无意义的数据转换为有意义的信息，并为未来科学技术中大数据的处理提供理论、实践和民主基础。
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