Paper Info
Title
Classification Technology Based on Hyperplanes for Visual Analytics with Implementations for Different Subject Areas
Abstract
The integration of human intellectual capabilities into the process of building a machine learning model is the most promising area. The advantage of this area is to effectively combine the capabilities of both human and machine through the use of visual analytics. Visual analytics combines machine learning, data transformation, and data visualization, that enables people to understand big and complex data. Using this approach, a human can form a mental model of a decision-making mechanism based on data analysis. To enable the machine to use this model, it is necessary to transform it into the form used by the machine. The paper proposes an information technology for transforming a model from the domain of human understanding into machine representation through formalization. The practical application of this technology is presented using the data classification method as an example. Data is visualized by lowering the dimension of the feature space. Using visual analytics, a human forms a classification model that is transformed into machine form through formalization. This research allows us to demonstrate the effectiveness of humanmachine interaction in the process of model building and the model transformation technique.
Year
Venue
Keywords
2020
CEUR Workshop Proceedings-Series
Visual Analytics,Classification,Test Tasks,Model Building,Recognition,Human-Machine Interaction
DocType
Volume
ISSN
Conference
2623
1613-0073
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Olexander Barmak101.01
Iurii Krak203.72
Eduard Manziuk300.68
Volodymyr Lytvynenko442.54
Oleg Kalyta500.68