Abstract: In data analysis, presenting the boundaries between the classes of objects is considered a minor issue in most cases . However, the subsequent use of the analysis results (for example, in diagnostic tasks or in the acquisition of the necessary object properties by controlling the parameters) should be based on the boundaries delineation and the accuracy of their description. This underlines the need to develop and use universal methods for presenting the data analysis results. This paper considers the data model for applied decision support systems, in which one of the components is graphic data, i.e. domains in multidimensional space, bounded by general surfaces. A mathematical model is proposed, which outlines the range of possible graphic applications rather strictly. The paper proposes a meaningful approach to describing the boundaries delineation error. The material considered can serve as a basis for technology of data analysis results storage and use.

Cite: Zykin S.V.
Representation of data analysis results in multidimensional parameter space
Journal of Physics: Conference Series. 2020. V.1546. N1. 012109 . DOI: 10.1088/1742-6596/1546/1/012109 Scopus OpenAlex

Dates:

Submitted:	Feb 3, 2020
Published print:	Mar 18, 2020

Identifiers:

Scopus:	2-s2.0-85086304806
OpenAlex:	W3030186091

Citing:

DB	Citing
OpenAlex	3
Scopus	3

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