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

Article


Endert, A., Ribarsky, W., Turkay, C., Wong, B., Nabney, I., Díaz, I. and Rossi, F. 2017. The state of the art in integrating Machine Learning into Visual Analytics. Computer Graphics Forum. 36 (8), pp. 458-486. https://doi.org/10.1111/cgf.13092
TypeArticle
TitleThe state of the art in integrating Machine Learning into Visual Analytics
AuthorsEndert, A., Ribarsky, W., Turkay, C., Wong, B., Nabney, I., Díaz, I. and Rossi, F.
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.

LanguageEnglish
PublisherWiley
JournalComputer Graphics Forum
ISSN0167-7055
Electronic1467-8659
Publication dates
Online22 Mar 2017
Print07 Dec 2017
Publication process dates
Deposited16 Nov 2020
Accepted01 Jan 2017
Output statusPublished
Web address (URL)https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13092
Digital Object Identifier (DOI)https://doi.org/10.1111/cgf.13092
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