Article 11420

Title of the article

TREEMAPS TO IMPROVE QUALITY OF SUPPORT OF DECISIONS 

Authors

Mikheev Mikhail Yuriyevich, doctor of technical sciences, professor, head of sub-department of informational technologies and systems, Penza State Technological University (1а /11 Baydukov/Gagarin street, Penza, Russia), Е-mail: mix1959@gmail.com
Prokof'ev Oleg Vladimirovich, candidate of technical sciences, associate professor, sub-department of mathematics and computer science, Financial University under the Government of the Russian Federation (Penza branch) (33 b Kalinina street, Penza, Russia), Email: prokof_ow@mail.ru
Semochkina Irina Yurievna, candidate of technical sciences, associate professor, sub-department of informational technologies and systems, Penza State Technological University (1а /11 Baydukov/Gagarin street, Penza, Russia), E-mail: ius1961@gmail.com 

Index UDK

004.832.2 

DOI

10.21685/2307-4205-2020-4-11 

Abstract

In the process of evolution of Decision Support System (DSS) computer systems, the “classic” decision trees were supplemented with new ways of displaying data – tree maps. Using a hierarchical structure, tree maps provide meaningfully organized displays of large amounts of information, which gives advantages in developing solutions for big data. Gathering and summarizing the experience of using ordinary trees and tree maps, the authors set a goal to develop recommendations on the use of data visualization tools in applied areas, which improves the quality of decision support. If the usual approach has found effective application in machine learning, then tree maps are oriented to manual use by decision makers. In contrast to the first approach, which relies on objective numerical criteria for assessing quality, the effect of using tree maps is subjective and less obvious. For the second approach, user survey data were applied during the solution of professional tasks related to the analysis of web pages “manually” in the process of a full factorial experiment. The average time for solving problems and expert estimates allowed us to draw conclusions about the advantages of a tree-like presentation of data and the potential for improving the quality of support for decisions made. In conclusion, the article substantiates the conclusion about the need for the integrated use of data visualization tools and a number of other technologies in the second generation DSS 2 products. 

Key words

decision trees, treemaps, quality of visualization, quality of solution, experimental data 

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References

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Дата создания: 29.01.2021 11:15
Дата обновления: 29.01.2021 14:44