Open AccessRepresentation of data analysis results in multidimensional parameter space
Author(s) -
С. В. Зыкин
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1546/1/012109
Subject(s) - computer science , representation (politics) , range (aeronautics) , basis (linear algebra) , multidimensional analysis , data mining , multidimensional data , space (punctuation) , bounded function , object (grammar) , external data representation , theoretical computer science , artificial intelligence , mathematics , statistics , mathematical analysis , materials science , geometry , politics , political science , law , composite material , operating system
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.