Open AccessИспользование визуальной аналитики для разработки человеческих и машино-центрических моделей: обзор подходов и предлагаемых информационных технологий
Author(s) -
M.A. Mukanova,
Iurii Krak,
А.А. Куандыков,
A.S. Sagalova,
D.A. Baibatyrov
Publication year - 2022
Publication title -
international journal of information and communication technologies
Language(s) - English
Resource type - Journals
eISSN - 2708-2040
pISSN - 2708-2032
DOI - 10.54309/ijict.2020.3.3.015
Subject(s) - workflow , computer science , visual analytics , human–machine system , analytics , artificial intelligence , human in the loop , machine learning , basis (linear algebra) , human–computer interaction , data mining , visualization , database , geometry , mathematics
The use of a visual analytical system in machine learning is the basis for the integration of human and the use of his intellectual capabilities in the construction of models. At the same time, visual analytics is used to expand human knowledge and is used as a research tool. We investigate the forms and goals of using visual analytics workflow towards the formation of the final product. Workflow is divided into human oriented and machine-oriented in order to build a model as an information processor and decision-making mechanism. Models are built on the basis of the end user, which can be either a machine or a hu-man.The concepts of model building and the role of machines and humans in these processes are investigat-ed. A practical implementation of the classification information technology in the studied concept ‘using op-posite model’ in the machine-oriented visual analytics workflow for using the machine model is proposed. The basis for this model is a model formed and used by human. To classify data, human intellectual abilities are used. The boundaries of classes are determined by a human and then projected into a hyperspace of at-tributes with the formation of a classification model that the machine uses. Information technology allows the machine to use a model built for humans.