Visual Analytics to Build a Machine Learning Model

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Author(s): Iurii V. Krak (Glushkov Cybernetics Institute, Taras Shevchenko National University of Kyiv, Ukraine), Olexander V. Barmak (National University of Khmelnytskyi, Ukraine)and Eduard Manziuk (National University of Khmelnytskyi, Ukraine)
Copyright: 2021
Pages: 17
Source title: Research Advancements in Smart Technology, Optimization, and Renewable Energy
Source Author(s)/Editor(s): Pandian Vasant (University of Technology Petronas, Malaysia), Gerhard Weber (Poznan University of Technology, Poland)and Wonsiri Punurai (Mahidol University, Thailand)
DOI: 10.4018/978-1-7998-3970-5.ch015

Keywords: Computational Intelligence / Computer Science & IT / Electrical and Electronics Engineering / Engineering Science Reference

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Abstract

One of the most interesting and promising areas of development of machine learning is the active involvement of a human in the process of building a model. However, there are problems with the effective integration of humans into a workflow. It is necessary to develop techniques and information technologies that would allow the effective use of human intellectual capabilities, thereby expanding the machine learning tools. This work considers the use of visual analytics with the goal of building a machine learning model by a human and the technique of transferring this model to the machine level. This made it possible to expand the capabilities of machine learning through the active and productive use of human intellectual abilities.

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