Human-centered machine learning through interactive visualization

Conference paper

Sacha, D., Sedlmair, M., Zhang, L., Lee, J., Weiskopf, D., North, S. and Keim, D. 2016. Human-centered machine learning through interactive visualization. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 27 - 29 Apr 2016 ESANN. pp. 641-646
TypeConference paper
TitleHuman-centered machine learning through interactive visualization
AuthorsSacha, D., Sedlmair, M., Zhang, L., Lee, J., Weiskopf, D., North, S. and Keim, D.
Abstract

The goal of visual analytics (VA) systems is to solve complex problems by integrating automated data analysis methods, such as machine learning (ML) algorithms, with interactive visualizations. We propose a conceptual framework that models human interactions with ML components in the VA process, and makes the crucial interplay between automated algorithms and interactive visualizations more concrete. The framework is illustrated through several examples. We derive three open research challenges at the intersection of ML and visualization research that will lead to more effective data analysis.

Conference24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Page range641-646
ISBN
Hardcover9782875870261
PublisherESANN
Publication dates
Print18 Aug 2016
Online01 May 2016
Publication process dates
Deposited24 Oct 2016
Accepted23 Jan 2016
Output statusPublished
Publisher's version
Copyright Statement

Rights are retained by the author.

Additional information

Paper published in: ESANN 2016 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 27-29 April 2016, i6doc.com publ., ISBN 978-287587027-8.
Available from http://www.i6doc.com/en/

Web address (URL)https://www.esann.org/sites/default/files/proceedings/legacy/es2016-166.pdf
LanguageEnglish
Book titleESANN 2016: 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium April 27-28-29, 2016 Proceedings
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