The State of the Art in Integrating Machine Learning into Visual Analytics
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Date
2017
Journal Title
Journal ISSN
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© 2017 The Eurographics Association and John Wiley & Sons Ltd.
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.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.
Description
@article{10.1111:cgf.13092,
journal = {Computer Graphics Forum},
title = {{The State of the Art in Integrating Machine Learning into Visual Analytics}},
author = {Endert, A. and Ribarsky, W. and Turkay, C. and Wong, B.L. William and Nabney, I. and Blanco, I. Díaz and Rossi, F.},
year = {2017},
publisher = {© 2017 The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13092}
}