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The State of the Art in Integrating Machine Learning into Visual Analytics

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.
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Contributor : Fabrice Rossi <>
Submitted on : Wednesday, February 21, 2018 - 7:40:45 PM
Last modification on : Sunday, January 19, 2020 - 6:38:32 PM
Long-term archiving on: : Tuesday, May 22, 2018 - 3:04:04 PM


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A. Endert, W. Ribarsky, C. Turkay, W Wong, I. Nabney, et al.. The State of the Art in Integrating Machine Learning into Visual Analytics. Computer Graphics Forum, Wiley, 2017, 36 (8), pp.458 - 486. ⟨10.1111/cgf.13092⟩. ⟨hal-01714743⟩



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