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dc.contributor.authorCashman, Dylanen_US
dc.contributor.authorHumayoun, Shah Rukhen_US
dc.contributor.authorHeimerl, Florianen_US
dc.contributor.authorPark, Kendallen_US
dc.contributor.authorDas, Subhajiten_US
dc.contributor.authorThompson, Johnen_US
dc.contributor.authorSaket, Bahadoren_US
dc.contributor.authorMosca, Abigailen_US
dc.contributor.authorStasko, Johnen_US
dc.contributor.authorEndert, Alexen_US
dc.contributor.authorGleicher, Michaelen_US
dc.contributor.authorChang, Remcoen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.description.abstractMany visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an accurate predictive model for future use. In that case, users are more interested in generating of diverse and robust predictive models, verifying their performance on holdout data, and selecting the most suitable model for their usage scenario. In this paper, we consider the concept of Exploratory Model Analysis (EMA), which is defined as the process of discovering and selecting relevant models that can be used to make predictions on a data source. We delineate the differences between EMA and the well-known term exploratory data analysis in terms of the desired outcome of the analytic process: insights into the data or a set of deployable models. The contributions of this work are a visual analytics system workflow for EMA, a user study, and two use cases validating the effectiveness of the workflow. We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcentered computing
dc.subjectVisual analytics
dc.subjectComputing methodologies
dc.subjectModel development and analysis
dc.subjectMathematics of computing
dc.subjectExploratory data analysis
dc.titleA User-based Visual Analytics Workflow for Exploratory Model Analysisen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersAnalysis and Decision Making

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  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

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