This paper gives a brief introduction into dimensional analysis and then shows the procedure of hierarchical modeling, its implications, as well as its ...

Additionally, dimensional analysis allows a hierarchical modeling technique, first creating models of subsystems and then aggregating them consecutively into ...

Zytkow: Discovery of diagnostic knowledge from multisensor data. ... Knowledge discovery in scientific data using hierarchical modeling in dimensional analysis.

The paper aims to use Modern Dimensional Analysis (MDA) to study the polymers additive manufacturing optimization.

Knowledge discovery projects require deep domain knowledge from experts such as sociologists, psychologists, economists, political scientists, and linguists.

Additionally, dimensional analysis allows a hierarchical modeling technique, first creating models of subsystems and then aggregating them consecutively ...

Knowledge discovery in high-dimensional data is a challenging enterprise, but new visual analytic tools appear to offer users remarkable powers if they are ...

The paper contains a review of methodologies of a process of knowledge discovery from data and methods of data exploration (Data Mining), which are the most ...

Dec 8, 2022 · This paper introduces a mechanistic data-driven approach that embeds the principle of dimensional invariance into a two-level machine learning scheme.

Knowledge discovery in scientific data using hierarchical modeling in dimensional analysis. In Data Mining and Knowledge. Discovery: Theory, Tools, and ...