The state of the art in integrating Machine Learning into Visual Analytics

Endert, Alex, Ribarsky, William, Turkay, Cagtay, Wong, B.L. William ORCID: https://orcid.org/0000-0002-3363-0741, Nabney, Ian T., Díaz, Ignacio and Rossi, F. (2017) The state of the art in integrating Machine Learning into Visual Analytics. Computer Graphics Forum, 36 (8) . pp. 458-486. ISSN 0167-7055 [Article] (doi:10.1111/cgf.13092)

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Abstract

Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through such techniques that people can make sense of large, complex data. While progress has been made, the tactful combination of machine learning and data visualization is still under-explored. This state-of the-art report presents a summary of the progress that has been made by highlighting and synthesizing select research advances. Further, it presents opportunities and challenges to enhance the synergy between machine learning and visual analytics for impactful future research directions.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 31400
Useful Links:
Depositing User: William Wong
Date Deposited: 16 Nov 2020 08:59
Last Modified: 06 Jan 2021 16:58
URI: https://eprints.mdx.ac.uk/id/eprint/31400

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